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2020 – today
- 2024
[j50]Chenjia Bai
, Lingxiao Wang, Jianye Hao, Zhuoran Yang, Bin Zhao, Zhen Wang, Xuelong Li:
Pessimistic value iteration for multi-task data sharing in Offline Reinforcement Learning. Artif. Intell. 326: 104048 (2024)- [j49]Fei Zhang, Yunjie Ye, Lei Feng, Zhongwen Rao, Jieming Zhu, Marcus Kalander, Chen Gong, Jianye Hao, Bo Han:
Exploiting counter-examples for active learning with partial labels. Mach. Learn. 113(6): 3849-3868 (2024) - [j48]Claire Glanois, Paul Weng, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu:
A survey on interpretable reinforcement learning. Mach. Learn. 113(8): 5847-5890 (2024) - [j47]Tianze Zhou, Fubiao Zhang, Kun Shao, Zipeng Dai, Kai Li, Wenhan Huang, Weixun Wang, Bin Wang, Dong Li, Wulong Liu, Jianye Hao:
Cooperative Multiagent Transfer Learning With Coalition Pattern Decomposition. IEEE Trans. Games 16(2): 352-364 (2024) - [j46]Shaokang Dong, Hangyu Mao, Shangdong Yang, Shengyu Zhu, Wenbin Li, Jianye Hao, Yang Gao:
WToE: Learning When to Explore in Multiagent Reinforcement Learning. IEEE Trans. Cybern. 54(8): 4789-4801 (2024) - [j45]Junjie Wang, Qichao Zhang, Yao Mu, Dong Li, Dongbin Zhao, Yuzheng Zhuang, Ping Luo, Bin Wang, Jianye Hao:
Prototypical Context-Aware Dynamics for Generalization in Visual Control With Model-Based Reinforcement Learning. IEEE Trans. Ind. Informatics 20(9): 10717-10727 (2024) - [j44]Jianye Hao, Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Zhaopeng Meng, Peng Liu, Zhen Wang:
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain. IEEE Trans. Neural Networks Learn. Syst. 35(7): 8762-8782 (2024) - [j43]Yixing Lan, Xin Xu, Qiang Fang, Jianye Hao:
Sample Efficient Deep Reinforcement Learning With Online State Abstraction and Causal Transformer Model Prediction. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16574-16588 (2024) - [j42]Yingrong Qin, Chen Gao, Shuangqing Wei, Yue Wang, Depeng Jin, Jian Yuan, Lin Zhang, Dong Li, Jianye Hao, Yong Li:
Learning from Hierarchical Structure of Knowledge Graph for Recommendation. ACM Trans. Inf. Syst. 42(1): 18:1-18:24 (2024) - [c225]Xiaotian Hao, Jianye Hao, Chenjun Xiao, Kai Li, Dong Li, Yan Zheng:
Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces. AAAI 2024: 12304-12312 - [c224]Jinyi Liu, Zhi Wang, Yan Zheng, Jianye Hao, Chenjia Bai, Junjie Ye, Zhen Wang, Haiyin Piao, Yang Sun:
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments. AAAI 2024: 13954-13962 - [c223]Jizhou Wu, Jianye Hao, Tianpei Yang, Xiaotian Hao, Yan Zheng, Weixun Wang, Matthew E. Taylor:
PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning. AAAI 2024: 15934-15942 - [c222]Tianpei Yang, Heng You, Jianye Hao, Yan Zheng, Matthew E. Taylor:
A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning. AAAI 2024: 16352-16360 - [c221]Ruizhe Zhong, Junjie Ye, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Junchi Yan:
PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling. AAAI 2024: 17087-17095 - [c220]Mohammad Dehghan, Mohammad Ali Alomrani, Sunyam Bagga, David Alfonso-Hermelo, Khalil Bibi, Abbas Ghaddar, Yingxue Zhang, Xiaoguang Li, Jianye Hao, Qun Liu, Jimmy Lin, Boxing Chen, Prasanna Parthasarathi, Mahdi Biparva, Mehdi Rezagholizadeh:
EWEK-QA : Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems. ACL (1) 2024: 14169-14187 - [c219]Jinyi Liu, Yi Ma, Jianye Hao, Yujing Hu, Yan Zheng, Tangjie Lv, Changjie Fan:
A Trajectory Perspective on the Role of Data Sampling Techniques in Offline Reinforcement Learning. AAMAS 2024: 1229-1237 - [c218]Hao Zhang, Tianpei Yang, Yan Zheng, Jianye Hao, Matthew E. Taylor:
PADDLE: Logic Program Guided Policy Reuse in Deep Reinforcement Learning. AAMAS 2024: 2585-2587 - [c217]Kai Zhao, Jianye Hao, Yi Ma, Jinyi Liu, Yan Zheng, Zhaopeng Meng:
ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles. AAMAS 2024: 2609-2611 - [c216]Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan:
vMFER: von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement of Actor-Critic Algorithms. AAMAS 2024: 2621-2623 - [c215]Fei Ni, Jianye Hao, Shiguang Wu, Longxin Kou, Jiashun Liu, Yan Zheng, Bin Wang, Yuzheng Zhuang:
Generate Subgoal Images Before Act: Unlocking the Chain-of-Thought Reasoning in Diffusion Model for Robot Manipulation with Multimodal Prompts. CVPR 2024: 13991-14000 - [c214]Ruyi An, Yewen Li, Xu He, Pengjie Gu, Mengchen Zhao, Dong Li, Jianye Hao, Chaojie Wang, Bo An, Mingyuan Zhou:
Improving Unsupervised Hierarchical Representation With Reinforcement Learning. CVPR 2024: 22946-22956 - [c213]Surya Penmetsa, Fahad Rahman Amik, Zhanguang Zhang, Yingying Fu, Yingxue Zhang, Wulong Liu, Jianye Hao:
Generalizable and Relation Sensitive Netlist Representation for Analog Circuit Design. ACM Great Lakes Symposium on VLSI 2024: 287-291 - [c212]Ke Xue, Ren-Jian Wang, Pengyi Li, Dong Li, Jianye Hao, Chao Qian:
Sample-Efficient Quality-Diversity by Cooperative Coevolution. ICLR 2024 - [c211]Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Tangjie Lv, Changjie Fan, Zhipeng Hu:
AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model. ICLR 2024 - [c210]Yufei Kuang, Jie Wang, Haoyang Liu, Fangzhou Zhu, Xijun Li, Jia Zeng, Jianye Hao, Bin Li, Feng Wu:
Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework. ICLR 2024 - [c209]Yifu Yuan, Jianye Hao, Yi Ma, Zibin Dong, Hebin Liang, Jinyi Liu, Zhixin Feng, Kai Zhao, Yan Zheng:
Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback. ICLR 2024 - [c208]Yaodong Yang, Guangyong Chen, Jianye Hao, Pheng-Ann Heng:
Sample-Efficient Multiagent Reinforcement Learning with Reset Replay. ICML 2024 - [c207]Zijie Geng, Jie Wang, Ziyan Liu, Siyuan Xu, Zhentao Tang, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu:
Reinforcement Learning within Tree Search for Fast Macro Placement. ICML 2024 - [c206]Longxin Kou, Fei Ni, Yan Zheng, Jinyi Liu, Yifu Yuan, Zibin Dong, Jianye Hao:
KISA: A Unified Keyframe Identifier and Skill Annotator for Long-Horizon Robotics Demonstrations. ICML 2024 - [c205]Yufei Kuang, Jie Wang, Yuyan Zhou, Xijun Li, Fangzhou Zhu, Jianye Hao, Feng Wu:
Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph. ICML 2024 - [c204]Pengyi Li, Yan Zheng, Hongyao Tang, Xian Fu, Jianye Hao:
EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search. ICML 2024 - [c203]Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Fazl Barez:
Value-Evolutionary-Based Reinforcement Learning. ICML 2024 - [c202]Jiashun Liu, Jianye Hao, Yi Ma, Shuyin Xia:
Unlock the Cognitive Generalization of Deep Reinforcement Learning via Granular Ball Representation. ICML 2024 - [c201]Haoyu Ma, Jialong Wu, Ningya Feng, Chenjun Xiao, Dong Li, Jianye Hao, Jianmin Wang, Mingsheng Long:
HarmonyDream: Task Harmonization Inside World Models. ICML 2024 - [c200]Yi Ma, Jianye Hao, Hebin Liang, Chenjun Xiao:
Rethinking Decision Transformer via Hierarchical Reinforcement Learning. ICML 2024 - [c199]Zhihai Wang, Lei Chen, Jie Wang, Yinqi Bai, Xing Li, Xijun Li, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu:
A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design. ICML 2024 - [c198]Zhihai Wang, Jie Wang, Dongsheng Zuo, Yunjie Ji, Xilin Xia, Yuzhe Ma, Jianye Hao, Mingxuan Yuan, Yongdong Zhang, Feng Wu:
A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design. ICML 2024 - [c197]Da Wang, Lin Li, Wei Wei, Qixian Yu, Jianye Hao, Jiye Liang:
Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting. ICML 2024 - [c196]Francesco Cursi, Marcus Kalander, Shuang Wu, Xidi Xue, Yu Tian, Guangjian Tian, Xingyue Quan, Jianye Hao:
Safe Table Tennis Swing Stroke with Low-Cost Hardware. ICRA 2024: 18279-18285 - [c195]Kai Zhao, Jianye Hao, Yi Ma, Jinyi Liu, Yan Zheng, Zhaopeng Meng:
ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles. IJCAI 2024: 5563-5571 - [c194]Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan:
vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement. IJCAI 2024: 5725-5733 - [c193]Jingwei Wang, Qianyue Hao, Wenzhen Huang, Xiaochen Fan, Zhentao Tang, Bin Wang, Jianye Hao, Yong Li:
DyPS: Dynamic Parameter Sharing in Multi-Agent Reinforcement Learning for Spatio-Temporal Resource Allocation. KDD 2024: 3128-3139 - [c192]Zhanguang Zhang, Didier Chételat, Joseph Cotnareanu, Amur Ghose, Wenyi Xiao, Hui-Ling Zhen, Yingxue Zhang, Jianye Hao, Mark Coates, Mingxuan Yuan:
GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection. KDD 2024: 6301-6311 - [c191]Shiwei Zhao, Xi Yuan, Runze Wu, Zhipeng Hu, Haoyu Liu, Kai Wang, Yujing Hu, Tangjie Lv, Changjie Fan, Xin T. Tong, Jiangze Han, Yan Zheng, Jianye Hao:
The MMO Economist: AI Empowers Robust, Healthy, and Sustainable P2W MMO Economies. WWW (Companion Volume) 2024: 443-452 - [i143]Xijun Li, Fangzhou Zhu, Hui-Ling Zhen, Weilin Luo, Meng Lu, Yimin Huang, Zhenan Fan, Zirui Zhou, Yufei Kuang, Zhihai Wang, Zijie Geng, Yang Li, Haoyang Liu, Zhiwu An, Muming Yang, Jianshu Li, Jie Wang, Junchi Yan, Defeng Sun, Tao Zhong, Yong Zhang, Jia Zeng, Mingxuan Yuan, Jianye Hao, Jun Yao, Kun Mao:
Machine Learning Insides OptVerse AI Solver: Design Principles and Applications. CoRR abs/2401.05960 (2024) - [i142]Pengyi Li, Jianye Hao, Hongyao Tang, Xian Fu, Yan Zheng, Ke Tang:
Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey. CoRR abs/2401.11963 (2024) - [i141]Ruizhe Zhong, Xingbo Du, Shixiong Kai, Zhentao Tang, Siyuan Xu, Hui-Ling Zhen, Jianye Hao, Qiang Xu, Mingxuan Yuan, Junchi Yan:
LLM4EDA: Emerging Progress in Large Language Models for Electronic Design Automation. CoRR abs/2401.12224 (2024) - [i140]Zibin Dong, Jianye Hao, Yifu Yuan, Fei Ni, Yitian Wang, Pengyi Li, Yan Zheng:
DiffuserLite: Towards Real-time Diffusion Planning. CoRR abs/2401.15443 (2024) - [i139]Yifu Yuan, Jianye Hao, Yi Ma, Zibin Dong, Hebin Liang, Jinyi Liu, Zhixin Feng, Kai Zhao, Yan Zheng:
Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback. CoRR abs/2402.02423 (2024) - [i138]Xinglin Zhou, Yifu Yuan, Shaofu Yang, Jianye Hao:
MENTOR: Guiding Hierarchical Reinforcement Learning with Human Feedback and Dynamic Distance Constraint. CoRR abs/2402.14244 (2024) - [i137]Jinyi Liu, Yifu Yuan, Jianye Hao, Fei Ni, Lingzhi Fu, Yibin Chen, Yan Zheng:
Enhancing Robotic Manipulation with AI Feedback from Multimodal Large Language Models. CoRR abs/2402.14245 (2024) - [i136]Lei Song, Chenxiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Zongzhang Zhang, Chao Qian:
Reinforced In-Context Black-Box Optimization. CoRR abs/2402.17423 (2024) - [i135]Ruizhe Zhong, Junjie Ye, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Junchi Yan:
PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling. CoRR abs/2403.00012 (2024) - [i134]Yibin Chen, Yifu Yuan, Zeyu Zhang, Yan Zheng, Jinyi Liu, Fei Ni, Jianye Hao:
SheetAgent: A Generalist Agent for Spreadsheet Reasoning and Manipulation via Large Language Models. CoRR abs/2403.03636 (2024) - [i133]Chenjia Bai, Lingxiao Wang, Jianye Hao, Zhuoran Yang, Bin Zhao, Zhen Wang, Xuelong Li:
Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement Learning. CoRR abs/2404.19346 (2024) - [i132]Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan:
vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement. CoRR abs/2405.08638 (2024) - [i131]Zhanguang Zhang, Didier Chételat, Joseph Cotnareanu, Amur Ghose, Wenyi Xiao, Hui-Ling Zhen, Yingxue Zhang, Jianye Hao, Mark Coates, Mingxuan Yuan:
GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection. CoRR abs/2405.11024 (2024) - [i130]Yueen Ma, Zixing Song, Yuzheng Zhuang, Jianye Hao, Irwin King:
A Survey on Vision-Language-Action Models for Embodied AI. CoRR abs/2405.14093 (2024) - [i129]Jialong Wu, Shaofeng Yin, Ningya Feng, Xu He, Dong Li, Jianye Hao, Mingsheng Long:
iVideoGPT: Interactive VideoGPTs are Scalable World Models. CoRR abs/2405.15223 (2024) - [i128]Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yi Ma, Pengyi Li, Yan Zheng:
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making. CoRR abs/2406.09509 (2024) - [i127]Mohammad Dehghan, Mohammad Ali Alomrani, Sunyam Bagga, David Alfonso-Hermelo, Khalil Bibi, Abbas Ghaddar, Yingxue Zhang, Xiaoguang Li, Jianye Hao, Qun Liu, Jimmy Lin, Boxing Chen, Prasanna Parthasarathi, Mahdi Biparva, Mehdi Rezagholizadeh:
EWEK-QA: Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems. CoRR abs/2406.10393 (2024) - [i126]Christopher E. Mower, Yuhui Wan, Hongzhan Yu, Antoine Grosnit, Jonas Gonzalez-Billandon, Matthieu Zimmer, Jinlong Wang, Xinyu Zhang, Yao Zhao, Anbang Zhai, Puze Liu, Davide Tateo, Cesar Cadena, Marco Hutter, Jan Peters, Guangjian Tian, Yuzheng Zhuang, Kun Shao, Xingyue Quan, Jianye Hao, Jun Wang, Haitham Bou-Ammar:
ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning. CoRR abs/2406.19741 (2024) - [i125]Min Zhang, Jianye Hao, Xian Fu, Peilong Han, Hao Zhang, Lei Shi, Hongyao Tang, Yan Zheng:
MFE-ETP: A Comprehensive Evaluation Benchmark for Multi-modal Foundation Models on Embodied Task Planning. CoRR abs/2407.05047 (2024) - [i124]Yihang Xiao, Jinyi Liu, Yan Zheng, Xiaohan Xie, Jianye Hao, Mingzhi Li, Ruitao Wang, Fei Ni, Yuxiao Li, Jintian Luo, Shaoqing Jiao, Jiajie Peng:
CellAgent: An LLM-driven Multi-Agent Framework for Automated Single-cell Data Analysis. CoRR abs/2407.09811 (2024) - [i123]Zhihai Wang, Zijie Geng, Zhaojie Tu, Jie Wang, Yuxi Qian, Zhexuan Xu, Ziyan Liu, Siyuan Xu, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Bin Li, Yongdong Zhang, Feng Wu:
Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms. CoRR abs/2407.15026 (2024) - [i122]Yueen Ma, Dafeng Chi, Shiguang Wu, Yuecheng Liu, Yuzheng Zhuang, Jianye Hao, Irwin King:
Actra: Optimized Transformer Architecture for Vision-Language-Action Models in Robot Learning. CoRR abs/2408.01147 (2024) - [i121]Yifu Yuan, Zhenrui Zheng, Zibin Dong, Jianye Hao:
MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning. CoRR abs/2408.15501 (2024) - [i120]Jiaming Zhou, Abbas Ghaddar, Ge Zhang, Liheng Ma, Yaochen Hu, Soumyasundar Pal, Mark Coates, Bin Wang, Yingxue Zhang, Jianye Hao:
Enhancing Logical Reasoning in Large Language Models through Graph-based Synthetic Data. CoRR abs/2409.12437 (2024) - 2023
- [j41]Yuanqiang Yu, Peng Zhang, Kai Zhao, Yan Zheng, Jianye Hao:
Accelerating deep reinforcement learning via knowledge-guided policy network. Auton. Agents Multi Agent Syst. 37(1): 17 (2023) - [j40]Tianpei Yang, Weixun Wang, Jianye Hao, Matthew E. Taylor, Yong Liu, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Chunxu Ren, Ye Huang, Jiangcheng Zhu, Yang Gao:
ASN: action semantics network for multiagent reinforcement learning. Auton. Agents Multi Agent Syst. 37(2): 45 (2023) - [j39]Wei Chen, Zhiwei Li, Hongyi Fang, Qianyuan Yao, Cheng Zhong, Jianye Hao, Qi Zhang, Xuanjing Huang, Jiajie Peng, Zhongyu Wei:
A benchmark for automatic medical consultation system: frameworks, tasks and datasets. Bioinform. 39(1) (2023) - [j38]Ran Chen, Shoubo Hu, Zhitang Chen, Shengyu Zhu, Bei Yu, Pengyun Li, Cheng Chen, Yu Huang, Jianye Hao:
A Unified Framework for Layout Pattern Analysis With Deep Causal Estimation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(4): 1199-1211 (2023) - [j37]Yuanheng Zhu, Weifan Li, Mengchen Zhao, Jianye Hao, Dongbin Zhao:
Empirical Policy Optimization for n-Player Markov Games. IEEE Trans. Cybern. 53(10): 6443-6455 (2023) - [j36]Yunqi Wang, Furui Liu, Zhitang Chen, Yik-Chung Wu, Jianye Hao, Guangyong Chen, Pheng-Ann Heng:
Contrastive-ACE: Domain Generalization Through Alignment of Causal Mechanisms. IEEE Trans. Image Process. 32: 235-250 (2023) - [j35]Matthieu Zimmer, Xuening Feng, Claire Glanois, Zhaohui Jiang, Jianyi Zhang, Paul Weng, Dong Li, Jianye Hao, Wulong Liu:
Differentiable Logic Machines. Trans. Mach. Learn. Res. 2023 (2023) - [j34]Guangzheng Hu, Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao, Jianye Hao:
Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34(8): 3966-3978 (2023) - [j33]Mengyue Yang, Guohao Cai, Furui Liu, Jiarui Jin, Zhenhua Dong, Xiuqiang He, Jianye Hao, Weiqi Shao, Jun Wang, Xu Chen:
Debiased Recommendation with User Feature Balancing. ACM Trans. Inf. Syst. 41(4): 114:1-114:25 (2023) - [c190]Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates:
Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems. AAAI 2023: 4711-4719 - [c189]Hebin Liang, Yi Ma, Zilin Cao, Tianyang Liu, Fei Ni, Zhigang Li, Jianye Hao:
SplitNet: A Reinforcement Learning Based Sequence Splitting Method for the MinMax Multiple Travelling Salesman Problem. AAAI 2023: 8720-8727 - [c188]Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo:
Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning. AAAI 2023: 10435-10443 - [c187]Mehrtash Mehrabi, Walid Masoudimansour, Yingxue Zhang, Jie Chuai, Zhitang Chen, Mark Coates, Jianye Hao, Yanhui Geng:
Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network. AAAI 2023: 14400-14407 - [c186]Amur Ghose, Yingxue Zhang, Jianye Hao, Mark Coates:
Spectral Augmentations for Graph Contrastive Learning. AISTATS 2023: 11213-11266 - [c185]Wei Qiu, Weixun Wang, Rundong Wang, Bo An, Yujing Hu, Svetlana Obraztsova, Zinovi Rabinovich, Jianye Hao, Yingfeng Chen, Changjie Fan:
Off-Beat Multi-Agent Reinforcement Learning. AAMAS 2023: 2424-2426 - [c184]Jizhou Wu, Tianpei Yang, Xiaotian Hao, Jianye Hao, Yan Zheng, Weixun Wang, Matthew E. Taylor:
PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning. AAMAS 2023: 2460-2462 - [c183]Siqi Chen, Qisong Sun, Heng You, Tianpei Yang, Jianye Hao:
Transfer Learning based Agent for Automated Negotiation. AAMAS 2023: 2895-2898 - [c182]Yuanyi Ren, Hang Ni, Yingxue Zhang, Xi Wang, Guojie Song, Dong Li, Jianye Hao:
Dual-Process Graph Neural Network for Diversified Recommendation. CIKM 2023: 2126-2135 - [c181]Hebin Liang, Zibin Dong, Yi Ma, Xiaotian Hao, Yan Zheng, Jianye Hao:
A Hierarchical Imitation Learning-based Decision Framework for Autonomous Driving. CIKM 2023: 4695-4701 - [c180]Mingyang Sun, Mengchen Zhao, Yaqing Hou, Minglei Li, Huang Xu, Songcen Xu, Jianye Hao:
Co-speech Gesture Synthesis by Reinforcement Learning with Contrastive Pretrained Rewards. CVPR 2023: 2331-2340 - [c179]Zhengbang Zhu, Shenyu Zhang, Yuzheng Zhuang, Yuecheng Liu, Minghuan Liu, Ziqing Gong, Shixiong Kai, Qiang Gu, Bin Wang, Siyuan Cheng, Xinyu Wang, Jianye Hao, Yong Yu:
RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow. DAI 2023: 6:1-6:10 - [c178]Shixiong Kai, Chak-Wa Pui, Fangzhou Wang, Shougao Jiang, Bin Wang, Yu Huang, Jianye Hao:
TOFU: A Two-Step Floorplan Refinement Framework for Whitespace Reduction. DATE 2023: 1-5 - [c177]Junyi Wang, Yuanyang Zhu, Zhi Wang, Yan Zheng, Jianye Hao, Chunlin Chen:
BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization. ECAI 2023: 2475-2482 - [c176]Yongliang Lv, Yuanqiang Yu, Yan Zheng, Jianye Hao, Yongming Wen, Yue Yu:
Limited Information Opponent Modeling. ICANN (8) 2023: 511-522 - [c175]Peiyu Wang, Anqi Lu, Xing Li, Junjie Ye, Lei Chen, Mingxuan Yuan, Jianye Hao, Junchi Yan:
EasyMap: Improving Technology Mapping via Exploration-Enhanced Heuristics and Adaptive Sequencing. ICCAD 2023: 1-9 - [c174]Jianyong Yuan, Peiyu Wang, Junjie Ye, Mingxuan Yuan, Jianye Hao, Junchi Yan:
EasySO: Exploration-enhanced Reinforcement Learning for Logic Synthesis Sequence Optimization and a Comprehensive RL Environment. ICCAD 2023: 1-9 - [c173]Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng:
Traj-MAE: Masked Autoencoders for Trajectory Prediction. ICCV 2023: 8317-8328 - [c172]Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu, Jianye Hao, Bin Wang, Jiangcheng Zhu, Hao Wang, Shu-Tao Xia:
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection. ICLR 2023 - [c171]Jianye Hao, Xiaotian Hao, Hangyu Mao, Weixun Wang, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang:
Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks. ICLR 2023 - [c170]Jianye Hao, Pengyi Li, Hongyao Tang, Yan Zheng, Xian Fu, Zhaopeng Meng:
ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation. ICLR 2023 - [c169]Wenqian Li, Yinchuan Li, Zhigang Li, Jianye Hao, Yan Pang:
DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks. ICLR 2023 - [c168]Yinchuan Li, Shuang Luo, Yunfeng Shao, Jianye Hao:
GFlowNets with Human Feedback. Tiny Papers @ ICLR 2023 - [c167]Yinchuan Li, Shuang Luo, Haozhi Wang, Jianye Hao:
CFlowNets: Continuous Control with Generative Flow Networks. ICLR 2023 - [c166]Haozhi Wang, Yunfeng Shao, Jianye Hao, Yinchuan Li:
Regularized Offline GFlowNets. Tiny Papers @ ICLR 2023 - [c165]Qizhou Wang, Junjie Ye, Feng Liu, Quanyu Dai, Marcus Kalander, Tongliang Liu, Jianye Hao, Bo Han:
Out-of-distribution Detection with Implicit Outlier Transformation. ICLR 2023 - [c164]Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Jinyi Liu, Yingfeng Chen, Changjie Fan:
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model. ICLR 2023 - [c163]Yao Lai, Jinxin Liu, Zhentao Tang, Bin Wang, Jianye Hao, Ping Luo:
ChiPFormer: Transferable Chip Placement via Offline Decision Transformer. ICML 2023: 18346-18364 - [c162]Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Xian Fu:
RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution. ICML 2023: 19490-19503 - [c161]Fei Ni, Jianye Hao, Yao Mu, Yifu Yuan, Yan Zheng, Bin Wang, Zhixuan Liang:
MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL. ICML 2023: 26087-26105 - [c160]Ming Yan, Junjie Chen, Hangyu Mao, Jiajun Jiang, Jianye Hao, Xingjian Li, Zhao Tian, Zhichao Chen, Dong Li, Zhangkong Xian, Yanwei Guo, Wulong Liu, Bin Wang, Yuefeng Sun, Yongshun Cui:
Achieving Last-Mile Functional Coverage in Testing Chip Design Software Implementations. ICSE-SEIP 2023: 343-354 - [c159]Yinchuan Li, Zhigang Li, Wenqian Li, Yunfeng Shao, Yan Zheng, Jianye Hao:
Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs. IJCAI 2023: 3939-3947 - [c158]Yuanqiang Yu, Tianpei Yang, Yongliang Lv, Yan Zheng, Jianye Hao:
T3S: Improving Multi-Task Reinforcement Learning with Task-Specific Feature Selector and Scheduler. IJCNN 2023: 1-8 - [c157]Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, Jun Xiao, Chao Wu:
Generalized Universal Domain Adaptation with Generative Flow Networks. ACM Multimedia 2023: 8304-8315 - [c156]Siqi Chen, Tianpei Yang, Heng You, Jianing Zhao, Jianye Hao, Gerhard Weiss:
Transfer Reinforcement Learning Based Negotiating Agent Framework. PAKDD (2) 2023: 386-397 - [c155]Jing Wang, Mengchen Zhao, Wei Xia, Zhenhua Dong, Ruiming Tang, Rui Zhang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng:
RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling. PAKDD (3) 2023: 400-413 - [c154]Taichi Liu, Chen Gao, Zhenyu Wang, Dong Li, Jianye Hao, Depeng Jin, Yong Li:
Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation. SIGIR 2023: 2466-2470 - [c153]Zhenyang Li, Yancheng Dong, Chen Gao, Yizhou Zhao, Dong Li, Jianye Hao, Kai Zhang, Yong Li, Zhi Wang:
Breaking Filter Bubble: A Reinforcement Learning Framework of Controllable Recommender System. WWW 2023: 4041-4049 - [e1]Makoto Yokoo, Hong Qiao, Yevgeniy Vorobeychik, Jianye Hao:
Distributed Artificial Intelligence - 4th International Conference, DAI 2022, Tianjin, China, December 15-17, 2022, Proceedings. Lecture Notes in Computer Science 13824, Springer 2023, ISBN 978-3-031-25548-9 [contents] - [i119]Mehrtash Mehrabi, Walid Masoudimansour, Yingxue Zhang, Jie Chuai, Zhitang Chen, Mark Coates, Jianye Hao, Yanhui Geng:
Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network. CoRR abs/2301.03412 (2023) - [i118]Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo:
Plan To Predict: Learning an Uncertainty-Foreseeing Model for Model-Based Reinforcement Learning. CoRR abs/2301.08502 (2023) - [i117]Junlong Lyu, Zhitang Chen, Wenlong Lyu, Jianye Hao:
Reweighted Interacting Langevin Diffusions: an Accelerated Sampling Methodfor Optimization. CoRR abs/2301.12640 (2023) - [i116]Amur Ghose, Yingxue Zhang, Jianye Hao, Mark Coates:
Spectral Augmentations for Graph Contrastive Learning. CoRR abs/2302.02909 (2023) - [i115]Hongyao Tang, Min Zhang, Jianye Hao:
The Ladder in Chaos: A Simple and Effective Improvement to General DRL Algorithms by Policy Path Trimming and Boosting. CoRR abs/2303.01391 (2023) - [i114]Yinchuan Li, Shuang Luo, Haozhi Wang, Jianye Hao:
CFlowNets: Continuous Control with Generative Flow Networks. CoRR abs/2303.02430 (2023) - [i113]Wenqian Li, Yinchuan Li, Zhigang Li, Jianye Hao, Yan Pang:
DAG Matters! GFlowNets Enhanced Explainer For Graph Neural Networks. CoRR abs/2303.02448 (2023) - [i112]Bowen Wang, Chen Liang, Jiaze Wang, Furui Liu, Shaogang Hao, Dong Li, Jianye Hao, Guangyong Chen, Xiaolong Zou, Pheng-Ann Heng:
DR-Label: Improving GNN Models for Catalysis Systems by Label Deconstruction and Reconstruction. CoRR abs/2303.02875 (2023) - [i111]Qizhou Wang, Junjie Ye, Feng Liu, Quanyu Dai, Marcus Kalander, Tongliang Liu, Jianye Hao, Bo Han:
Out-of-distribution Detection with Implicit Outlier Transformation. CoRR abs/2303.05033 (2023) - [i110]Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng:
Traj-MAE: Masked Autoencoders for Trajectory Prediction. CoRR abs/2303.06697 (2023) - [i109]Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo:
Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning. CoRR abs/2303.17984 (2023) - [i108]Haozhi Wang, Yinchuan Li, Qing Wang, Yunfeng Shao, Jianye Hao:
Multi-agent Policy Reciprocity with Theoretical Guarantee. CoRR abs/2304.05632 (2023) - [i107]Yinchuan Li, Zhigang Li, Wenqian Li, Yunfeng Shao, Yan Zheng, Jianye Hao:
Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs. CoRR abs/2304.11989 (2023) - [i106]Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates:
Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems. CoRR abs/2305.01204 (2023) - [i105]Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, Jun Xiao, Chao Wu:
Generalized Universal Domain Adaptation with Generative Flow Networks. CoRR abs/2305.04466 (2023) - [i104]Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu, Jianye Hao, Bin Wang, Jiangcheng Zhu, Hao Wang, Shu-Tao Xia:
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection. CoRR abs/2305.05239 (2023) - [i103]Yinchuan Li, Shuang Luo, Yunfeng Shao, Jianye Hao:
GFlowNets with Human Feedback. CoRR abs/2305.07036 (2023) - [i102]Fei Ni, Jianye Hao, Yao Mu, Yifu Yuan, Yan Zheng, Bin Wang, Zhixuan Liang:
MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL. CoRR abs/2305.19923 (2023) - [i101]Xuechen Mu, Hankz Hankui Zhuo, Chen Chen, Kai Zhang, Chao Yu, Jianye Hao:
Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2306.08359 (2023) - [i100]Yao Lai, Jinxin Liu, Zhentao Tang, Bin Wang, Jianye Hao, Ping Luo:
ChiPFormer: Transferable Chip Placement via Offline Decision Transformer. CoRR abs/2306.14744 (2023) - [i99]Jinyi Liu, Yi Ma, Jianye Hao, Yujing Hu, Yan Zheng, Tangjie Lv, Changjie Fan:
Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning. CoRR abs/2306.15503 (2023) - [i98]Yueen Ma, Dafeng Chi, Jingjing Li, Yuzheng Zhuang, Jianye Hao, Irwin King:
VOLTA: Diverse and Controllable Question-Answer Pair Generation with Variational Mutual Information Maximizing Autoencoder. CoRR abs/2307.00852 (2023) - [i97]Fei Zhang, Yunjie Ye, Lei Feng, Zhongwen Rao, Jieming Zhu, Marcus Kalander, Chen Gong, Jianye Hao, Bo Han:
Exploiting Counter-Examples for Active Learning with Partial labels. CoRR abs/2307.07413 (2023) - [i96]Junyi Wang, Yuanyang Zhu, Zhi Wang, Yan Zheng, Jianye Hao, Chunlin Chen:
BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization. CoRR abs/2308.01207 (2023) - [i95]Taichi Liu, Chen Gao, Zhenyu Wang, Dong Li, Jianye Hao, Depeng Jin, Yong Li:
Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation. CoRR abs/2308.03470 (2023) - [i94]Zhihai Wang, Lei Chen, Jie Wang, Xing Li, Yinqi Bai, Xijun Li, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu:
A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design. CoRR abs/2309.03208 (2023) - [i93]Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Tangjie Lv, Changjie Fan, Zhipeng Hu:
AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model. CoRR abs/2310.02054 (2023) - [i92]Yi Ma, Chenjun Xiao, Hebin Liang, Jianye Hao:
Rethinking Decision Transformer via Hierarchical Reinforcement Learning. CoRR abs/2311.00267 (2023) - [i91]Jinyi Liu, Zhi Wang, Yan Zheng, Jianye Hao, Chenjia Bai, Junjie Ye, Zhen Wang, Haiyin Piao, Yang Sun:
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments. CoRR abs/2312.12145 (2023) - [i90]Filippos Christianos, Georgios Papoudakis, Matthieu Zimmer, Thomas Coste, Zhihao Wu, Jingxuan Chen, Khyati Khandelwal, James Doran, Xidong Feng, Jiacheng Liu, Zheng Xiong, Yicheng Luo, Jianye Hao, Kun Shao, Haitham Bou-Ammar, Jun Wang:
Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning. CoRR abs/2312.14878 (2023) - 2022
- [j32]Caiwei Zhen, Yuxian Wang, Jiaquan Geng, Lu Han, Jingyi Li, Jinghao Peng, Tao Wang, Jianye Hao, Xuequn Shang, Zhongyu Wei, Peican Zhu, Jiajie Peng:
A review and performance evaluation of clustering frameworks for single-cell Hi-C data. Briefings Bioinform. 23(6) (2022) - [j31]Alexander I. Cowen-Rivers, Wenlong Lyu, Rasul Tutunov, Zhi Wang, Antoine Grosnit, Ryan-Rhys Griffiths, Alexandre Max Maraval, Jianye Hao, Jun Wang, Jan Peters, Haitham Bou-Ammar:
HEBO: An Empirical Study of Assumptions in Bayesian Optimisation. J. Artif. Intell. Res. 74: 1269-1349 (2022) - [j30]Jian Zhao, Youpeng Zhao, Weixun Wang, Mingyu Yang, Xunhan Hu, Wengang Zhou, Jianye Hao, Houqiang Li:
Coach-assisted multi-agent reinforcement learning framework for unexpected crashed agents. Frontiers Inf. Technol. Electron. Eng. 23(7): 1032-1042 (2022) - [j29]Chengwei Zhang, Zhuobing Han, Bingfu Liu, Wanli Xue, Jianye Hao, Xiaohong Li, Dou An, Rong Chen:
SCC-rFMQ: a multiagent reinforcement learning method in cooperative Markov games with continuous actions. Int. J. Mach. Learn. Cybern. 13(7): 1927-1944 (2022) - [j28]Zeren Huang, Kerong Wang, Furui Liu, Hui-Ling Zhen, Weinan Zhang, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang:
Learning to select cuts for efficient mixed-integer programming. Pattern Recognit. 123: 108353 (2022) - [c152]Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang:
What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator. AAAI 2022: 8441-8449 - [c151]Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng:
Multiagent Q-learning with Sub-Team Coordination. AAMAS 2022: 1630-1632 - [c150]Zipeng Dai, Tianze Zhou, Kun Shao, David Henry Mguni, Bin Wang, Jianye Hao:
Socially-Attentive Policy Optimization in Multi-Agent Self-Driving System. CoRL 2022: 946-955 - [c149]Bowen Wang, Guibao Shen, Dong Li, Jianye Hao, Wulong Liu, Yu Huang, Hongzhong Wu, Yibo Lin, Guangyong Chen, Pheng-Ann Heng:
LHNN: lattice hypergraph neural network for VLSI congestion prediction. DAC 2022: 1297-1302 - [c148]Yining Li, Tianpei Yang, Jianye Hao, Yan Zheng, Hongyao Tang:
Efficient Deep Reinforcement Learning via Policy-Extended Successor Feature Approximator. DAI 2022: 29-44 - [c147]Yixu Gao, Kun Shao, Zhijian Duan, Zhongyu Wei, Dong Li, Bin Wang, Mengchen Zhao, Jianye Hao:
Efficient Dual-Process Cognitive Recommender Balancing Accuracy and Diversity. DASFAA (3) 2022: 389-400 - [c146]Chang Feng, Wenlong Lyu, Zhitang Chen, Junjie Ye, Mingxuan Yuan, Jianye Hao:
Batch Sequential Black-Box Optimization with Embedding Alignment Cells for Logic Synthesis. ICCAD 2022: 56:1-56:9 - [c145]Xinyi Zhou, Junjie Ye, Chak-Wa Pui, Kun Shao, Guangliang Zhang, Bin Wang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng:
Heterogeneous Graph Neural Network-Based Imitation Learning for Gate Sizing Acceleration. ICCAD 2022: 57:1-57:9 - [c144]Zheng Fang, Ziyun Zhang, Guojie Song, Yingxue Zhang, Dong Li, Jianye Hao, Xi Wang:
Invariant Factor Graph Neural Networks. ICDM 2022: 933-938 - [c143]Pengjie Gu, Mengchen Zhao, Jianye Hao, Bo An:
Online Ad Hoc Teamwork under Partial Observability. ICLR 2022 - [c142]Boyan Li, Hongyao Tang, Yan Zheng, Jianye Hao, Pengyi Li, Zhen Wang, Zhaopeng Meng, Li Wang:
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation. ICLR 2022 - [c141]Changmin Yu, Dong Li, Jianye Hao, Jun Wang, Neil Burgess:
Learning State Representations via Retracing in Reinforcement Learning. ICLR 2022 - [c140]Claire Glanois, Zhaohui Jiang, Xuening Feng, Paul Weng, Matthieu Zimmer, Dong Li, Wulong Liu, Jianye Hao:
Neuro-Symbolic Hierarchical Rule Induction. ICML 2022: 7583-7615 - [c139]Pengjie Gu, Mengchen Zhao, Chen Chen, Dong Li, Jianye Hao, Bo An:
Learning Pseudometric-based Action Representations for Offline Reinforcement Learning. ICML 2022: 7902-7918 - [c138]Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Wenyuan Tao, Zhen Wang:
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration. ICML 2022: 12979-12997 - [c137]Minghuan Liu, Zhengbang Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang:
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization. ICML 2022: 14173-14196 - [c136]Li Wang, Yupeng Zhang, Yujing Hu, Weixun Wang, Chongjie Zhang, Yang Gao, Jianye Hao, Tangjie Lv, Changjie Fan:
Individual Reward Assisted Multi-Agent Reinforcement Learning. ICML 2022: 23417-23432 - [c135]Jiayu Miao, Tianze Zhou, Kun Shao, Ming Zhou, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang:
Promoting Quality and Diversity in Population-based Reinforcement Learning via Hierarchical Trajectory Space Exploration. ICRA 2022: 7544-7550 - [c134]Tong Sang, Hongyao Tang, Yi Ma, Jianye Hao, Yan Zheng, Zhaopeng Meng, Boyan Li, Zhen Wang:
PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations. IJCAI 2022: 3416-3422 - [c133]Xiaopeng Zhang, Shoubo Hu, Zhitang Chen, Shengyu Zhu, Evangeline F. Y. Young, Pengyun Li, Cheng Chen, Yu Huang, Jianye Hao:
RCANet: Root Cause Analysis via Latent Variable Interaction Modeling for Yield Improvement. ITC 2022: 100-107 - [c132]Mohammad Amini, Zhanguang Zhang, Surya Penmetsa, Yingxue Zhang, Jianye Hao, Wulong Liu:
Generalizable Floorplanner through Corner Block List Representation and Hypergraph Embedding. KDD 2022: 2692-2702 - [c131]Jinpeng Li, Guangyong Chen, Hangyu Mao, Danruo Deng, Dong Li, Jianye Hao, Qi Dou, Pheng-Ann Heng:
Flat-Aware Cross-Stage Distilled Framework for Imbalanced Medical Image Classification. MICCAI (3) 2022: 217-226 - [c130]Yaodong Yang, Guangyong Chen, Weixun Wang, Xiaotian Hao, Jianye Hao, Pheng-Ann Heng:
Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing. NeurIPS 2022 - [c129]Yushi Cao, Zhiming Li, Tianpei Yang, Hao Zhang, Yan Zheng, Yi Li, Jianye Hao, Yang Liu:
GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis. NeurIPS 2022 - [c128]Ruoyu Cheng, Xianglong Lyu, Yang Li, Junjie Ye, Jianye Hao, Junchi Yan:
The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design. NeurIPS 2022 - [c127]Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Matthew E. Taylor, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng:
Multiagent Q-learning with Sub-Team Coordination. NeurIPS 2022 - [c126]Yao Mu, Yuzheng Zhuang, Fei Ni, Bin Wang, Jianyu Chen, Jianye Hao, Ping Luo:
DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning. NeurIPS 2022 - [c125]Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo:
Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning. NeurIPS 2022 - [c124]Shuwen Yang, Zhihao Yang, Dong Li, Yingxue Zhang, Zhanguang Zhang, Guojie Song, Jianye Hao:
Versatile Multi-stage Graph Neural Network for Circuit Representation. NeurIPS 2022 - [c123]Zeren Huang, Wenhao Chen, Weinan Zhang, Chuhan Shi, Furui Liu, Hui-Ling Zhen, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang:
Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-Based Policy Learning. ECML/PKDD (5) 2022: 377-392 - [c122]Heng You, Tianpei Yang, Yan Zheng, Jianye Hao, Matthew E. Taylor:
Cross-domain adaptive transfer reinforcement learning based on state-action correspondence. UAI 2022: 2299-2309 - [c121]Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jianye Hao, Irwin King:
Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation. WSDM 2022: 94-102 - [i89]Mengyue Yang, Guohao Cai, Furui Liu, Zhenhua Dong, Xiuqiang He, Jianye Hao, Jun Wang, Xu Chen:
Debiased Recommendation with User Feature Balancing. CoRR abs/2201.06056 (2022) - [i88]Jianye Hao, Jiawen Lu, Xijun Li, Xialiang Tong, Xiang Xiang, Mingxuan Yuan, Hankz Hankui Zhuo:
Introduction to The Dynamic Pickup and Delivery Problem Benchmark - ICAPS 2021 Competition. CoRR abs/2202.01256 (2022) - [i87]Jian Zhao, Yue Zhang, Xunhan Hu, Weixun Wang, Wengang Zhou, Jianye Hao, Jiangcheng Zhu, Houqiang Li:
Revisiting QMIX: Discriminative Credit Assignment by Gradient Entropy Regularization. CoRR abs/2202.04427 (2022) - [i86]Mengyue Yang, Xinyu Cai, Furui Liu, Xu Chen, Zhitang Chen, Jianye Hao, Jun Wang:
Generalizable Information Theoretic Causal Representation. CoRR abs/2202.08388 (2022) - [i85]Minghuan Liu, Zhengbang Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang:
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization. CoRR abs/2203.02214 (2022) - [i84]Xiaotian Hao, Weixun Wang, Hangyu Mao, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang, Jianye Hao:
API: Boosting Multi-Agent Reinforcement Learning via Agent-Permutation-Invariant Networks. CoRR abs/2203.05285 (2022) - [i83]Jian Zhao, Youpeng Zhao, Weixun Wang, Mingyu Yang, Xunhan Hu, Wengang Zhou, Jianye Hao, Houqiang Li:
Coach-assisted Multi-Agent Reinforcement Learning Framework for Unexpected Crashed Agents. CoRR abs/2203.08454 (2022) - [i82]Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Zhen Wang:
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration. CoRR abs/2203.08553 (2022) - [i81]Bowen Wang, Guibao Shen, Dong Li, Jianye Hao, Wulong Liu, Yu Huang, Hongzhong Wu, Yibo Lin, Guangyong Chen, Pheng-Ann Heng:
LHNN: Lattice Hypergraph Neural Network for VLSI Congestion Prediction. CoRR abs/2203.12831 (2022) - [i80]Tong Sang, Hongyao Tang, Yi Ma, Jianye Hao, Yan Zheng, Zhaopeng Meng, Boyan Li, Zhen Wang:
PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations. CoRR abs/2204.02877 (2022) - [i79]Wei Chen, Zhiwei Li, Hongyi Fang, Qianyuan Yao, Cheng Zhong, Jianye Hao, Qi Zhang, Xuanjing Huang, Jiajie Peng, Zhongyu Wei:
A Benchmark for Automatic Medical Consultation System: Frameworks, Tasks and Datasets. CoRR abs/2204.08997 (2022) - [i78]Wei Qiu, Weixun Wang, Rundong Wang, Bo An, Yujing Hu, Svetlana Obraztsova, Zinovi Rabinovich, Jianye Hao, Yingfeng Chen, Changjie Fan:
Off-Beat Multi-Agent Reinforcement Learning. CoRR abs/2205.13718 (2022) - [i77]Yushi Cao, Zhiming Li, Tianpei Yang, Hao Zhang, Yan Zheng, Yi Li, Jianye Hao, Yang Liu:
GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis. CoRR abs/2205.13728 (2022) - [i76]Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu:
A Graph-Enhanced Click Model for Web Search. CoRR abs/2206.08621 (2022) - [i75]Zeren Huang, Wenhao Chen, Weinan Zhang, Chuhan Shi, Furui Liu, Hui-Ling Zhen, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang:
Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-based Policy Learning. CoRR abs/2207.13701 (2022) - [i74]Min Zhang, Hongyao Tang, Jianye Hao, Yan Zheng:
Towards A Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision Processes. CoRR abs/2209.07696 (2022) - [i73]Haozhi Wang, Qing Wang, Yunfeng Shao, Dong Li, Jianye Hao, Yinchuan Li:
On the Convergence Theory of Meta Reinforcement Learning with Personalized Policies. CoRR abs/2209.10072 (2022) - [i72]Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Jinyi Liu, Yingfeng Chen, Changjie Fan:
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model. CoRR abs/2210.00498 (2022) - [i71]Yao Mu, Yuzheng Zhuang, Fei Ni, Bin Wang, Jianyu Chen, Jianye Hao, Ping Luo:
Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning. CoRR abs/2210.04209 (2022) - [i70]Wenqian Li, Yinchuan Li, Shengyu Zhu, Yunfeng Shao, Jianye Hao, Yan Pang:
GFlowCausal: Generative Flow Networks for Causal Discovery. CoRR abs/2210.08185 (2022) - [i69]Yiqun Chen, Hangyu Mao, Tianle Zhang, Shiguang Wu, Bin Zhang, Jianye Hao, Dong Li, Bin Wang, Hongxing Chang:
PTDE: Personalized Training with Distillated Execution for Multi-Agent Reinforcement Learning. CoRR abs/2210.08872 (2022) - [i68]Pengyi Li, Hongyao Tang, Jianye Hao, Yan Zheng, Xian Fu, Zhaopeng Meng:
ERL-Re2: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation. CoRR abs/2210.17375 (2022) - [i67]Zhengbang Zhu, Shenyu Zhang, Yuzheng Zhuang, Yuecheng Liu, Minghuan Liu, Liyuan Mao, Ziqing Gong, Weinan Zhang, Shixiong Kai, Qiang Gu, Bin Wang, Siyuan Cheng, Xinyu Wang, Jianye Hao, Yong Yu:
RITA: Boost Autonomous Driving Simulators with Realistic Interactive Traffic Flow. CoRR abs/2211.03408 (2022) - [i66]Junjie Wang, Yao Mu, Dong Li, Qichao Zhang, Dongbin Zhao, Yuzheng Zhuang, Ping Luo, Bin Wang, Jianye Hao:
Prototypical context-aware dynamics generalization for high-dimensional model-based reinforcement learning. CoRR abs/2211.12774 (2022) - [i65]Chen Chen, Hongyao Tang, Yi Ma, Chao Wang, Qianli Shen, Dong Li, Jianye Hao:
State-Aware Proximal Pessimistic Algorithms for Offline Reinforcement Learning. CoRR abs/2211.15065 (2022) - [i64]Minghuan Liu, Zhengbang Zhu, Menghui Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao:
Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents. CoRR abs/2212.09033 (2022) - [i63]Hangyu Mao, Rui Zhao, Hao Chen, Jianye Hao, Yiqun Chen, Dong Li, Junge Zhang, Zhen Xiao:
Transformer in Transformer as Backbone for Deep Reinforcement Learning. CoRR abs/2212.14538 (2022) - 2021
- [j27]Yan Zheng, Jianye Hao, Zongzhang Zhang, Zhaopeng Meng, Tianpei Yang, Yanran Li, Changjie Fan:
Efficient policy detecting and reusing for non-stationarity in Markov games. Auton. Agents Multi Agent Syst. 35(1): 2 (2021) - [j26]Jiajie Peng, Hansheng Xue, Zhongyu Wei, Idil Tuncali, Jianye Hao, Xuequn Shang:
Integrating multi-network topology for gene function prediction using deep neural networks. Briefings Bioinform. 22(2): 2096-2105 (2021) - [j25]Jiajie Peng, Yuxian Wang, Jiaojiao Guan, Jingyi Li, Ruijiang Han, Jianye Hao, Zhongyu Wei, Xuequn Shang:
An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction. Briefings Bioinform. 22(5) (2021) - [j24]Tianyi Zhao, Shuxuan Lyu, Guilin Lu, Liran Juan, Xi Zeng, Zhongyu Wei, Jianye Hao, Jiajie Peng:
SC2disease: a manually curated database of single-cell transcriptome for human diseases. Nucleic Acids Res. 49(Database-Issue): D1413-D1419 (2021) - [j23]Gongyu Zhou, Guangquan Xu, Jianye Hao, Shizhan Chen, Junfeng Xu, Xi Zheng:
Generalized Centered 2-D Principal Component Analysis. IEEE Trans. Cybern. 51(3): 1666-1677 (2021) - [j22]Yoriyuki Yamagata, Shuang Liu, Takumi Akazaki, Yihai Duan, Jianye Hao:
Falsification of Cyber-Physical Systems Using Deep Reinforcement Learning. IEEE Trans. Software Eng. 47(12): 2823-2840 (2021) - [c120]Chen Chen, Hongyao Tang, Jianye Hao, Wulong Liu, Zhaopeng Meng:
Addressing Action Oscillations through Learning Policy Inertia. AAAI 2021: 7020-7027 - [c119]Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu:
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning. AAAI 2021: 7457-7465 - [c118]Hongyao Tang, Zhaopeng Meng, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Jianye Hao:
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. AAAI 2021: 9834-9842 - [c117]Xidong Feng, Chen Chen, Dong Li, Mengchen Zhao, Jianye Hao, Jun Wang:
CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation. CIKM 2021: 484-493 - [c116]Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, Jun Wang:
CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models. CVPR 2021: 9593-9602 - [c115]Tong Sang, Hongyao Tang, Jianye Hao, Yan Zheng, Zhaopeng Meng:
Uncertainty-Aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning. DAI 2021: 21-37 - [c114]Hangyu Mao, Chao Wang, Xiaotian Hao, Yihuan Mao, Yiming Lu, Chengjie Wu, Jianye Hao, Dong Li, Pingzhong Tang:
SEIHAI: A Sample-Efficient Hierarchical AI for the MineRL Competition. DAI 2021: 38-51 - [c113]Ran Chen, Shoubo Hu, Zhitang Chen, Shengyu Zhu, Bei Yu, Pengyun Li, Cheng Chen, Yu Huang, Jianye Hao:
A Unified Framework for Layout Pattern Analysis with Deep Causal Estimation. ICCAD 2021: 1-9 - [c112]Yan Zhao, Jiannan Guo, Xuanhao Chen, Jianye Hao, Xiaofang Zhou, Kai Zheng:
Coalition-based Task Assignment in Spatial Crowdsourcing. ICDE 2021: 241-252 - [c111]Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang:
Principled Exploration via Optimistic Bootstrapping and Backward Induction. ICML 2021: 577-587 - [c110]Xueyou Zhang, Wei Xi, Xian Guo, Yongchun Fang, Bin Wang, Wulong Liu, Jianye Hao:
Relational Navigation Learning in Continuous Action Space among Crowds. ICRA 2021: 3175-3181 - [c109]Yan Zheng, Yi Liu, Xiaofei Xie, Yepang Liu, Lei Ma, Jianye Hao, Yang Liu:
Automatic Web Testing Using Curiosity-Driven Reinforcement Learning. ICSE 2021: 423-435 - [c108]Xiaoyang Gao, Siqi Chen, Yan Zheng, Jianye Hao:
A deep reinforcement learning-based agent for negotiation with multiple communication channels. ICTAI 2021: 868-872 - [c107]Xiaoqiang Wang, Yali Du, Shengyu Zhu, Liangjun Ke, Zhitang Chen, Jianye Hao, Jun Wang:
Ordering-Based Causal Discovery with Reinforcement Learning. IJCAI 2021: 3566-3573 - [c106]Shaohua Zhang, Shuang Liu, Jun Sun, Yuqi Chen, Wenzhi Huang, Jinyi Liu, Jian Liu, Jianye Hao:
FIGCPS: Effective Failure-inducing Input Generation for Cyber-Physical Systems with Deep Reinforcement Learning. ASE 2021: 555-567 - [c105]Fei Ni, Jianye Hao, Jiawen Lu, Xialiang Tong, Mingxuan Yuan, Jiahui Duan, Yi Ma, Kun He:
A Multi-Graph Attributed Reinforcement Learning based Optimization Algorithm for Large-scale Hybrid Flow Shop Scheduling Problem. KDD 2021: 3441-3451 - [c104]Yao Mu, Yuzheng Zhuang, Bin Wang, Guangxiang Zhu, Wulong Liu, Jianyu Chen, Ping Luo, Shengbo Li, Chongjie Zhang, Jianye Hao:
Model-Based Reinforcement Learning via Imagination with Derived Memory. NeurIPS 2021: 9493-9505 - [c103]Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang:
Dynamic Bottleneck for Robust Self-Supervised Exploration. NeurIPS 2021: 17007-17020 - [c102]Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Hangyu Mao, Dong Li, Wulong Liu, Yingfeng Chen, Yujing Hu, Changjie Fan, Chengwei Zhang:
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning. NeurIPS 2021: 17037-17048 - [c101]Danruo Deng, Guangyong Chen, Jianye Hao, Qiong Wang, Pheng-Ann Heng:
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning. NeurIPS 2021: 18710-18721 - [c100]Yi Ma, Xiaotian Hao, Jianye Hao, Jiawen Lu, Xing Liu, Xialiang Tong, Mingxuan Yuan, Zhigang Li, Jie Tang, Zhaopeng Meng:
A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems. NeurIPS 2021: 23609-23620 - [c99]Chenyang Wu, Guoyu Yang, Zongzhang Zhang, Yang Yu, Dong Li, Wulong Liu, Jianye Hao:
Adaptive Online Packing-guided Search for POMDPs. NeurIPS 2021: 28419-28430 - [c98]Leling Wu, Siqi Chen, Xiaoyang Gao, Yan Zheng, Jianye Hao:
Detecting and Learning Against Unknown Opponents for Automated Negotiations. PRICAI (3) 2021: 17-31 - [c97]Shiyu Huang, Bin Wang, Hang Su, Dong Li, Jianye Hao, Jun Zhu, Ting Chen:
Off-Policy Training for Truncated TD(λ) Boosted Soft Actor-Critic. PRICAI (3) 2021: 46-59 - [c96]Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu:
A Graph-Enhanced Click Model for Web Search. SIGIR 2021: 1259-1268 - [c95]Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu:
An Adversarial Imitation Click Model for Information Retrieval. WWW 2021: 1809-1820 - [i62]Matthieu Zimmer, Xuening Feng, Claire Glanois, Zhaohui Jiang, Jianyi Zhang, Paul Weng, Jianye Hao, Dong Li, Wulong Liu:
Differentiable Logic Machines. CoRR abs/2102.11529 (2021) - [i61]Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Zhaopeng Meng:
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. CoRR abs/2103.02225 (2021) - [i60]Chen Chen, Hongyao Tang, Jianye Hao, Wulong Liu, Zhaopeng Meng:
Addressing Action Oscillations through Learning Policy Inertia. CoRR abs/2103.02287 (2021) - [i59]Yan Zheng, Yi Liu, Xiaofei Xie, Yepang Liu, Lei Ma, Jianye Hao, Yang Liu:
Automatic Web Testing using Curiosity-Driven Reinforcement Learning. CoRR abs/2103.06018 (2021) - [i58]Zhihao Ma, Yuzheng Zhuang, Paul Weng, Hankz Hankui Zhuo, Dong Li, Wulong Liu, Jianye Hao:
Learning Symbolic Rules for Interpretable Deep Reinforcement Learning. CoRR abs/2103.08228 (2021) - [i57]Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu:
An Adversarial Imitation Click Model for Information Retrieval. CoRR abs/2104.06077 (2021) - [i56]Chenjia Bai, Lingxiao Wang, Lei Han, Jianye Hao, Animesh Garg, Peng Liu, Zhaoran Wang:
Principled Exploration via Optimistic Bootstrapping and Backward Induction. CoRR abs/2105.06022 (2021) - [i55]Xiaoqiang Wang, Yali Du, Shengyu Zhu, Liangjun Ke, Zhitang Chen, Jianye Hao, Jun Wang:
Ordering-Based Causal Discovery with Reinforcement Learning. CoRR abs/2105.06631 (2021) - [i54]Zeren Huang, Kerong Wang, Furui Liu, Hui-Ling Zhen, Weinan Zhang, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang:
Learning to Select Cuts for Efficient Mixed-Integer Programming. CoRR abs/2105.13645 (2021) - [i53]Tianze Zhou, Fubiao Zhang, Kun Shao, Kai Li, Wenhan Huang, Jun Luo, Weixun Wang, Yaodong Yang, Hangyu Mao, Bin Wang, Dong Li, Wulong Liu, Jianye Hao:
Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment. CoRR abs/2106.00517 (2021) - [i52]Yunqi Wang, Furui Liu, Zhitang Chen, Qing Lian, Shoubo Hu, Jianye Hao, Yik-Chung Wu:
Contrastive ACE: Domain Generalization Through Alignment of Causal Mechanisms. CoRR abs/2106.00925 (2021) - [i51]Xidong Feng, Chen Chen, Dong Li, Mengchen Zhao, Jianye Hao, Jun Wang:
CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation. CoRR abs/2108.10511 (2021) - [i50]Boyan Li, Hongyao Tang, Yan Zheng, Jianye Hao, Pengyi Li, Zhen Wang, Zhaopeng Meng, Li Wang:
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation. CoRR abs/2109.05490 (2021) - [i49]Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Jianye Hao, Zhaopeng Meng, Peng Liu:
Exploration in Deep Reinforcement Learning: A Comprehensive Survey. CoRR abs/2109.06668 (2021) - [i48]Shiyu Huang, Bin Wang, Dong Li, Jianye Hao, Ting Chen, Jun Zhu:
Ranking Cost: Building An Efficient and Scalable Circuit Routing Planner with Evolution-Based Optimization. CoRR abs/2110.03939 (2021) - [i47]Danruo Deng, Guangyong Chen, Jianye Hao, Qiong Wang, Pheng-Ann Heng:
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning. CoRR abs/2110.04593 (2021) - [i46]Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang:
Dynamic Bottleneck for Robust Self-Supervised Exploration. CoRR abs/2110.10735 (2021) - [i45]Hangyu Mao, Chao Wang, Xiaotian Hao, Yihuan Mao, Yiming Lu, Chengjie Wu, Jianye Hao, Dong Li, Pingzhong Tang:
SEIHAI: A Sample-efficient Hierarchical AI for the MineRL Competition. CoRR abs/2111.08857 (2021) - [i44]Xuejing Zheng, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo:
Lifelong Reinforcement Learning with Temporal Logic Formulas and Reward Machines. CoRR abs/2111.09475 (2021) - [i43]Tong Sang, Hongyao Tang, Jianye Hao, Yan Zheng, Zhaopeng Meng:
Uncertainty-aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning. CoRR abs/2111.10103 (2021) - [i42]Changmin Yu, Dong Li, Jianye Hao, Jun Wang, Neil Burgess:
Learning State Representations via Retracing in Reinforcement Learning. CoRR abs/2111.12600 (2021) - [i41]Cong Wang, Tianpei Yang, Jianye Hao, Yan Zheng, Hongyao Tang, Fazl Barez, Jinyi Liu, Jiajie Peng, Haiyin Piao, Zhixiao Sun:
ED2: An Environment Dynamics Decomposition Framework for World Model Construction. CoRR abs/2112.02817 (2021) - [i40]Claire Glanois, Paul Weng, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu:
A Survey on Interpretable Reinforcement Learning. CoRR abs/2112.13112 (2021) - 2020
- [j21]Haodi Zhang, Jianye Hao, Xiaohong Li:
A Method for Deploying Distributed Denial of Service Attack Defense Strategies on Edge Servers Using Reinforcement Learning. IEEE Access 8: 78482-78491 (2020) - [j20]Yan Zheng, Jianye Hao, Zongzhang Zhang, Zhao-Peng Meng, Xiaotian Hao:
Efficient Multiagent Policy Optimization Based on Weighted Estimators in Stochastic Cooperative Environments. J. Comput. Sci. Technol. 35(2): 268-280 (2020) - [c94]Jianwen Sun, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yang Liu:
Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management. AAAI 2020: 922-929 - [c93]Yong Liu, Weixun Wang, Yujing Hu, Jianye Hao, Xingguo Chen, Yang Gao:
Multi-Agent Game Abstraction via Graph Attention Neural Network. AAAI 2020: 7211-7218 - [c92]Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao:
Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. AAAI 2020: 7219-7226 - [c91]Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao:
From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning. AAAI 2020: 7293-7300 - [c90]Hangtian Jia, Chunxu Ren, Yujing Hu, Yingfeng Chen, Tangjie Lv, Changjie Fan, Hongyao Tang, Jianye Hao:
Mastering Basketball With Deep Reinforcement Learning: An Integrated Curriculum Training Approach. AAMAS 2020: 1872-1874 - [c89]Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Zhaodong Wang, Jiajie Peng:
Efficient Deep Reinforcement Learning through Policy Transfer. AAMAS 2020: 2053-2055 - [c88]Hanchao Wang, Hongyao Tang, Jianye Hao, Xiaotian Hao, Yue Fu, Yi Ma:
Large Scale Deep Reinforcement Learning in War-games. BIBM 2020: 1693-1699 - [c87]Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Zhengbang Zhu, Yihan Ni, Nhat M. Nguyen, Mohamed Elsayed, Haitham Ammar, Alexander I. Cowen-Rivers, Sanjeevan Ahilan, Zheng Tian, Daniel Palenicek, Kasra Rezaee, Peyman Yadmellat, Kun Shao, Dong Chen, Baokuan Zhang, Hongbo Zhang, Jianye Hao, Wulong Liu, Jun Wang:
SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving. CoRL 2020: 264-285 - [c86]Haotian Fu, Hongyao Tang, Jianye Hao, Wulong Liu, Chen Chen:
MGHRL: Meta Goal-Generation for Hierarchical Reinforcement Learning. DAI 2020: 29-39 - [c85]Muzi Liu, Ho-fung Leung, Jianye Hao:
Faster Convention Emergence by Avoiding Local Conventions in Reinforcement Social Learning. ICAISC (1) 2020: 690-701 - [c84]Yizhen Dong, Peixin Zhang, Jingyi Wang, Shuang Liu, Jun Sun, Jianye Hao, Xinyu Wang, Li Wang, Jin Song Dong, Ting Dai:
An Empirical Study on Correlation between Coverage and Robustness for Deep Neural Networks. ICECCS 2020: 73-82 - [c83]Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao:
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems. ICLR 2020 - [c82]Xiaotian Hao, Zhaoqing Peng, Yi Ma, Guan Wang, Junqi Jin, Jianye Hao, Shan Chen, Rongquan Bai, Mingzhou Xie, Miao Xu, Zhenzhe Zheng, Chuan Yu, Han Li, Jian Xu, Kun Gai:
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising. ICML 2020: 4060-4070 - [c81]Yaodong Yang, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, Zhongyu Wei:
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning. ICML 2020: 10706-10715 - [c80]Peng Zhang, Jianye Hao, Weixun Wang, Hongyao Tang, Yi Ma, Yihai Duan, Yan Zheng:
KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge. IJCAI 2020: 2291-2297 - [c79]Cong Fei, Bin Wang, Yuzheng Zhuang, Zongzhang Zhang, Jianye Hao, Hongbo Zhang, Xuewu Ji, Wulong Liu:
Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets. IJCAI 2020: 2929-2935 - [c78]Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Wulong Liu, Zhaodong Wang, Jiajie Peng:
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer. IJCAI 2020: 3094-3100 - [c77]Ruimin Shen, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yingfeng Chen, Changjie Fan, Yang Liu:
Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning. IJCAI 2020: 3371-3377 - [c76]Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai:
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising. IJCAI 2020: 3437-3443 - [c75]Shixiong Kai, Bin Wang, Dong Chen, Jianye Hao, Hongbo Zhang, Wulong Liu:
A Multi-Task Reinforcement Learning Approach for Navigating Unsignalized Intersections. IV 2020: 1583-1588 - [c74]Yujing Hu, Weixun Wang, Hangtian Jia, Yixiang Wang, Yingfeng Chen, Jianye Hao, Feng Wu, Changjie Fan:
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping. NeurIPS 2020 - [c73]Jianyu Zhang, Jianye Hao, Françoise Fogelman-Soulié:
Cross-data Automatic Feature Engineering via Meta-learning and Reinforcement Learning. PAKDD (1) 2020: 818-829 - [i39]Yaodong Yang, Jianye Hao, Ben Liao, Kun Shao, Guangyong Chen, Wulong Liu, Hongyao Tang:
Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning. CoRR abs/2002.03939 (2020) - [i38]Yaodong Yang, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, Zhongyu Wei:
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning. CoRR abs/2002.03950 (2020) - [i37]Peng Zhang, Jianye Hao, Weixun Wang, Hongyao Tang, Yi Ma, Yihai Duan, Yan Zheng:
KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge. CoRR abs/2002.07418 (2020) - [i36]Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Wulong Liu, Yujing Hu, Yingfeng Chen:
Learning When to Transfer among Agents: An Efficient Multiagent Transfer Learning Framework. CoRR abs/2002.08030 (2020) - [i35]Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Weixun Wang, Yujing Hu, Yingfeng Chen, Changjie Fan, Zhaodong Wang, Jiajie Peng:
Efficient Deep Reinforcement Learning through Policy Transfer. CoRR abs/2002.08037 (2020) - [i34]Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, Jun Wang:
CausalVAE: Structured Causal Disentanglement in Variational Autoencoder. CoRR abs/2004.08697 (2020) - [i33]Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai:
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising. CoRR abs/2005.04355 (2020) - [i32]Jianwen Sun, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yang Liu:
Continuous Multiagent Control using Collective Behavior Entropy for Large-Scale Home Energy Management. CoRR abs/2005.10000 (2020) - [i31]Cong Fei, Bin Wang, Yuzheng Zhuang, Zongzhang Zhang, Jianye Hao, Hongbo Zhang, Xuewu Ji, Wulong Liu:
Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets. CoRR abs/2005.10622 (2020) - [i30]Xiaotian Hao, Zhaoqing Peng, Yi Ma, Guan Wang, Junqi Jin, Jianye Hao, Shan Chen, Rongquan Bai, Mingzhou Xie, Miao Xu, Zhenzhe Zheng, Chuan Yu, Han Li, Jian Xu, Kun Gai:
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising. CoRR abs/2006.16312 (2020) - [i29]Junjie Wang, Qichao Zhang, Dongbin Zhao, Mengchen Zhao, Jianye Hao:
Dynamic Horizon Value Estimation for Model-based Reinforcement Learning. CoRR abs/2009.09593 (2020) - [i28]Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu:
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning. CoRR abs/2009.13891 (2020) - [i27]Guangzheng Hu, Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao, Jianye Hao:
Event-Triggered Multi-agent Reinforcement Learning with Communication under Limited-bandwidth Constraint. CoRR abs/2010.04978 (2020) - [i26]Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Wulong Liu, Yaodong Yang:
What About Taking Policy as Input of Value Function: Policy-extended Value Function Approximator. CoRR abs/2010.09536 (2020) - [i25]Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Aurora Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Dong Chen, Zhengbang Zhu, Nhat M. Nguyen, Mohamed Elsayed, Kun Shao, Sanjeevan Ahilan, Baokuan Zhang, Jiannan Wu, Zhengang Fu, Kasra Rezaee, Peyman Yadmellat, Mohsen Rohani, Nicolas Perez Nieves, Yihan Ni, Seyedershad Banijamali, Alexander I. Cowen-Rivers, Zheng Tian, Daniel Palenicek, Haitham Bou-Ammar, Hongbo Zhang, Wulong Liu, Jianye Hao, Jun Wang:
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving. CoRR abs/2010.09776 (2020) - [i24]Yujing Hu, Weixun Wang, Hangtian Jia, Yixiang Wang, Yingfeng Chen, Jianye Hao, Feng Wu, Changjie Fan:
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping. CoRR abs/2011.02669 (2020) - [i23]Jiajun Fan, He Ba, Xian Guo, Jianye Hao:
Critic PI2: Master Continuous Planning via Policy Improvement with Path Integrals and Deep Actor-Critic Reinforcement Learning. CoRR abs/2011.06752 (2020) - [i22]Alexander I. Cowen-Rivers, Wenlong Lyu, Zhi Wang, Rasul Tutunov, Jianye Hao, Jun Wang, Haitham Bou-Ammar:
HEBO: Heteroscedastic Evolutionary Bayesian Optimisation. CoRR abs/2012.03826 (2020)
2010 – 2019
- 2019
- [j19]Chengwei Zhang, Xiaohong Li, Jianye Hao, Siqi Chen, Karl Tuyls, Wanli Xue, Zhiyong Feng:
SA-IGA: a multiagent reinforcement learning method towards socially optimal outcomes. Auton. Agents Multi Agent Syst. 33(4): 403-429 (2019) - [j18]Jiajie Peng, Weiwei Hui, Qianqian Li, Bolin Chen, Jianye Hao, Qinghua Jiang, Xuequn Shang, Zhongyu Wei:
A learning-based framework for miRNA-disease association identification using neural networks. Bioinform. 35(21): 4364-4371 (2019) - [j17]Hanxu Hou, Tian Gan, Yaodong Yang, Xianglei Zhu, Sen Liu, Weiming Guo, Jianye Hao:
Using deep reinforcement learning to speed up collective cell migration. BMC Bioinform. 20-S(18): 571:1-571:10 (2019) - [j16]Xianglei Zhu, Bofeng Fu, Yaodong Yang, Yu Ma, Jianye Hao, Siqi Chen, Shuang Liu, Tiegang Li, Sen Liu, Weiming Guo, Zhenyu Liao:
Attention-based recurrent neural network for influenza epidemic prediction. BMC Bioinform. 20-S(18): 575:1-575:10 (2019) - [j15]Weichao Wang, Zhaopeng Meng, Zan Wang, Shuang Liu, Jianye Hao:
LoopFix: an approach to automatic repair of buggy loops. J. Syst. Softw. 156: 100-112 (2019) - [c72]Hongyao Tang, Jianye Hao, Li Wang, Tim Baarslag, Zan Wang:
An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning. AAAI 2019: 10049-10050 - [c71]Chao Yu, Xin Wang, Jianye Hao, Zhanbo Feng:
Reinforcement Learning for Cooperative Overtaking. AAMAS 2019: 341-349 - [c70]Xiaotian Hao, Weixun Wang, Jianye Hao, Yaodong Yang:
Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems. AAMAS 2019: 1315-1323 - [c69]Hongyao Tang, Jianye Hao, Li Wang, Zan Wang, Tim Baarslag:
An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning. AAMAS 2019: 2209-2211 - [c68]Tianpei Yang, Jianye Hao, Zhaopeng Meng, Yan Zheng, Chongjie Zhang, Ze Zheng:
Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents. AAMAS 2019: 2282-2284 - [c67]Yaodong Yang, Jianye Hao, Yan Zheng, Xiaotian Hao, Bofeng Fu:
Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Reinforcement Learning Framework. AAMAS 2019: 2285-2287 - [c66]Jianyu Zhang, Jianye Hao, Françoise Fogelman-Soulié, Zan Wang:
Automatic Feature Engineering by Deep Reinforcement Learning. AAMAS 2019: 2312-2314 - [c65]Siqi Chen, Yonghao Cui, Cong Shang, Jianye Hao, Gerhard Weiss:
ONECG: Online Negotiation Environment for Coalitional Games. AAMAS 2019: 2348-2350 - [c64]Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Xiaotian Hao, Yixi Wang, Han Li, Jian Xu, Kun Gai:
Learning Adaptive Display Exposure for Real-Time Advertising. CIKM 2019: 2595-2603 - [c63]Weixun Wang, Jianye Hao, Yixi Wang, Matthew E. Taylor:
Achieving cooperation through deep multiagent reinforcement learning in sequential prisoner's dilemmas. DAI 2019: 11:1-11:7 - [c62]Yujing Hu, Yingfeng Chen, Changjie Fan, Jianye Hao:
Explicitly Coordinated Policy Iteration. IJCAI 2019: 357-363 - [c61]Tianpei Yang, Jianye Hao, Zhaopeng Meng, Chongjie Zhang, Yan Zheng, Ze Zheng:
Towards Efficient Detection and Optimal Response against Sophisticated Opponents. IJCAI 2019: 623-629 - [c60]Yaodong Yang, Jianye Hao, Yan Zheng, Chao Yu:
Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Deep Reinforcement Learning Framework. IJCAI 2019: 630-636 - [c59]Haotian Fu, Hongyao Tang, Jianye Hao, Zihan Lei, Yingfeng Chen, Changjie Fan:
Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces. IJCAI 2019: 2329-2335 - [c58]Qianlong Liu, Baoliang Cui, Zhongyu Wei, Baolin Peng, Haikuan Huang, Hongbo Deng, Jianye Hao, Xuanjing Huang, Kam-Fai Wong:
Building Personalized Simulator for Interactive Search. IJCAI 2019: 5109-5115 - [c57]Yan Zheng, Changjie Fan, Xiaofei Xie, Ting Su, Lei Ma, Jianye Hao, Zhaopeng Meng, Yang Liu, Ruimin Shen, Yingfeng Chen:
Wuji: Automatic Online Combat Game Testing Using Evolutionary Deep Reinforcement Learning. ASE 2019: 772-784 - [c56]Kaihong Han, Maode Ma, Xiaohong Li, Zhiyong Feng, Jianye Hao:
An Efficient Handover Authentication Mechanism for 5G Wireless Network. WCNC 2019: 1-8 - [i21]Haotian Fu, Hongyao Tang, Jianye Hao, Zihan Lei, Yingfeng Chen, Changjie Fan:
Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces. CoRR abs/1903.04959 (2019) - [i20]Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Zhaopeng Meng, Yaodong Yang, Li Wang:
Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction. CoRR abs/1905.11100 (2019) - [i19]Yi Ma, Jianye Hao, Yaodong Yang, Han Li, Junqi Jin, Guangyong Chen:
Spectral-based Graph Convolutional Network for Directed Graphs. CoRR abs/1907.08990 (2019) - [i18]Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao:
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems. CoRR abs/1907.11461 (2019) - [i17]Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao:
From Few to More: Large-scale Dynamic Multiagent Curriculum Learning. CoRR abs/1909.02790 (2019) - [i16]Xiaotian Hao, Weixun Wang, Jianye Hao, Yaodong Yang:
Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems. CoRR abs/1909.11468 (2019) - [i15]Haotian Fu, Hongyao Tang, Jianye Hao:
Efficient meta reinforcement learning via meta goal generation. CoRR abs/1909.13607 (2019) - [i14]Yizhen Dong, Peixin Zhang, Jingyi Wang, Shuang Liu, Jun Sun, Jianye Hao, Xinyu Wang, Li Wang, Jin Song Dong, Dai Ting:
There is Limited Correlation between Coverage and Robustness for Deep Neural Networks. CoRR abs/1911.05904 (2019) - [i13]Yong Liu, Weixun Wang, Yujing Hu, Jianye Hao, Xingguo Chen, Yang Gao:
Multi-Agent Game Abstraction via Graph Attention Neural Network. CoRR abs/1911.10715 (2019) - [i12]Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao:
Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning. CoRR abs/1912.01160 (2019) - 2018
- [j14]Xiaotian Hao, Jianye Hao, Wang Li, Hanxu Hou:
Effective norm emergence in cell systems under limited communication. BMC Bioinform. 19-S(5): 23-35 (2018) - [j13]Xiaohong Li, Ru Cao, Jianye Hao:
An Adaptive Learning Based Network Selection Approach for 5G Dynamic Environments. Entropy 20(4): 236 (2018) - [j12]Jianye Hao, Jun Sun, Guangyong Chen, Zan Wang, Chao Yu, Zhong Ming:
Efficient and Robust Emergence of Norms through Heuristic Collective Learning. ACM Trans. Auton. Adapt. Syst. 12(4): 23:1-23:20 (2018) - [j11]Jianye Hao, Eunsuk Kang, Jun Sun, Zan Wang, Zhaopeng Meng, Xiaohong Li, Zhong Ming:
An Adaptive Markov Strategy for Defending Smart Grid False Data Injection From Malicious Attackers. IEEE Trans. Smart Grid 9(4): 2398-2408 (2018) - [c55]Yixi Wang, Wenhuan Lu, Jianye Hao, Jianguo Wei, Ho-fung Leung:
Efficient Convention Emergence through Decoupled Reinforcement Social Learning with Teacher-Student Mechanism. AAMAS 2018: 795-803 - [c54]Yaodong Yang, Jianye Hao, Zan Wang, Mingyang Sun, Goran Strbac:
Recurrent Deep Multiagent Q-Learning for Autonomous Agents in Future Smart Grid. AAMAS 2018: 2136-2138 - [c53]Chengwei Zhang, Xiaohong Li, Jianye Hao, Sandip Sen, Wanli Xue, Zhiyong Feng:
The Dynamics of Opinion Evolution in Gossiper-Media Model with WoLS-CALA Learning. AAMAS 2018: 2159-2161 - [c52]Chengwei Zhang, Xiaohong Li, Jianye Hao, Siqi Chen, Karl Tuyls, Zhiyong Feng:
SCC-rFMQ Learning in Cooperative Markov Games with Continuous Actions. AAMAS 2018: 2162-2164 - [c51]Bofeng Fu, Yaodong Yang, Yu Ma, Jianye Hao, Siqi Chen, Shuang Liu, Tiegang Li, Zhenyu Liao, Xianglei Zhu:
Attention-Based Recurrent Multi-Channel Neural Network for Influenza Epidemic Prediction. BIBM 2018: 1245-1248 - [c50]Tian Gan, Yaodong Yang, Jianye Hao, Zhenyu Liao, Xianglei Zhu:
Speeding up Collective Cell Migration Using Deep Reinforcement Learning. BIBM 2018: 1277-1280 - [c49]Takumi Akazaki, Shuang Liu, Yoriyuki Yamagata, Yihai Duan, Jianye Hao:
Falsification of Cyber-Physical Systems Using Deep Reinforcement Learning. FM 2018: 456-465 - [c48]Yaodong Yang, Jianye Hao, Mingyang Sun, Zan Wang, Changjie Fan, Goran Strbac:
Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid. IJCAI 2018: 569-575 - [c47]Yan Zheng, Zhaopeng Meng, Jianye Hao, Zongzhang Zhang, Tianpei Yang, Changjie Fan:
A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents. NeurIPS 2018: 962-972 - [c46]Wanshu Liu, Chengwei Zhang, Tianpei Yang, Jianye Hao, Xiaohong Li, Zhijie Bao:
Achieving Multiagent Coordination Through CALA-rFMQ Learning in Continuous Action Space. PRICAI 2018: 132-139 - [c45]Yan Zheng, Zhaopeng Meng, Jianye Hao, Zongzhang Zhang:
Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments. PRICAI 2018: 421-429 - [c44]Gaosheng Liu, Xin Wang, Xiaohong Li, Jianye Hao, Zhiyong Feng:
ESRQ: An Efficient Secure Routing Method in Wireless Sensor Networks Based on Q-Learning. TrustCom/BigDataSE 2018: 149-155 - [i11]Yan Zheng, Jianye Hao, Zongzhang Zhang:
Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments. CoRR abs/1802.08534 (2018) - [i10]Weixun Wang, Jianye Hao, Yixi Wang, Matthew E. Taylor:
Towards Cooperation in Sequential Prisoner's Dilemmas: a Deep Multiagent Reinforcement Learning Approach. CoRR abs/1803.00162 (2018) - [i9]Chengwei Zhang, Xiaohong Li, Jianye Hao, Siqi Chen, Karl Tuyls, Wanli Xue:
SA-IGA: A Multiagent Reinforcement Learning Method Towards Socially Optimal Outcomes. CoRR abs/1803.03021 (2018) - [i8]Tianpei Yang, Jianye Hao, Zhaopeng Meng, Sandip Sen, Sheng Jin:
Hierarchical Heuristic Learning towards Effcient Norm Emergence. CoRR abs/1803.03059 (2018) - [i7]Takumi Akazaki, Shuang Liu, Yoriyuki Yamagata, Yihai Duan, Jianye Hao:
Falsification of Cyber-Physical Systems Using Deep Reinforcement Learning. CoRR abs/1805.00200 (2018) - [i6]Hongyao Tang, Li Wang, Zan Wang, Tim Baarslag, Jianye Hao:
An Optimal Rewiring Strategy for Reinforcement Social Learning in Cooperative Multiagent Systems. CoRR abs/1805.08588 (2018) - [i5]Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Yixi Wang, Han Li, Jian Xu, Kun Gai:
Learning to Advertise with Adaptive Exposure via Constrained Two-Level Reinforcement Learning. CoRR abs/1809.03149 (2018) - [i4]Tianpei Yang, Zhaopeng Meng, Jianye Hao, Chongjie Zhang, Yan Zheng:
Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents. CoRR abs/1809.04240 (2018) - [i3]Chengwei Zhang, Xiaohong Li, Jianye Hao, Siqi Chen, Karl Tuyls, Zhiyong Feng, Wanli Xue, Rong Chen:
SCC-rFMQ Learning in Cooperative Markov Games with Continuous Actions. CoRR abs/1809.06625 (2018) - [i2]Hongyao Tang, Jianye Hao, Tangjie Lv, Yingfeng Chen, Zongzhang Zhang, Hangtian Jia, Chunxu Ren, Yan Zheng, Changjie Fan, Li Wang:
Hierarchical Deep Multiagent Reinforcement Learning. CoRR abs/1809.09332 (2018) - 2017
- [j10]Jianye Hao, Dongping Huang, Yi Cai, Ho-fung Leung:
The dynamics of reinforcement social learning in networked cooperative multiagent systems. Eng. Appl. Artif. Intell. 58: 111-122 (2017) - [j9]Chi-Kong Chan, Jianye Hao, Ho-fung Leung:
Reciprocal Social Strategy in Social Repeated Games and Emergence of Social Norms. Int. J. Artif. Intell. Tools 26(1): 1760007:1-1760007:33 (2017) - [j8]Fengyuan Zhu, Guangyong Chen, Jianye Hao, Pheng-Ann Heng:
Blind Image Denoising via Dependent Dirichlet Process Tree. IEEE Trans. Pattern Anal. Mach. Intell. 39(8): 1518-1531 (2017) - [c43]Xiaohong Li, Shuxin Li, Jianye Hao, Zhiyong Feng, Bo An:
Optimal Personalized Defense Strategy Against Man-In-The-Middle Attack. AAAI 2017: 593-599 - [c42]Xiaotian Hao, Jianye Hao, Wang Li:
Effective norm emergence in cell systems under limited communication. BIBM 2017: 1670-1673 - [c41]Xianglei Zhu, Shuai Zhao, Yaodong Yang, Hongyao Tang, Zan Wang, Jianye Hao:
A real-time ensemble classification algorithm for time series data. ICA 2017: 145-150 - [c40]Xiaohong Li, Ru Cao, Jianye Hao, Zhiyong Feng:
A Prediction and Learning Based Approach to Network Selection in Dynamic Environments. ICANN (1) 2017: 92-100 - [c39]Wei Yang, Xiaohong Li, Zhiyong Feng, Jianye Hao:
TLSsem: A TLS Security-Enhanced Mechanism against MITM Attacks in Public WiFis. ICECCS 2017: 30-39 - [c38]Ling Shi, Shuang Liu, Jianye Hao, Jun Yang Koh, Zhe Hou, Jin Song Dong:
Towards Solving Decision Making Problems Using Probabilistic Model Checking. ICECCS 2017: 150-153 - [c37]Yunhao Liu, Xiaohong Li, Zhiyong Feng, Jianye Hao:
An Improved Android Collusion Attack Detection Method Based on Program Slicing. ICFEM 2017: 315-331 - [c36]Shuxin Li, Xiaohong Li, Jianye Hao, Bo An, Zhiyong Feng, Kangjie Chen, Chengwei Zhang:
Defending Against Man-In-The-Middle Attack in Repeated Games. IJCAI 2017: 3742-3748 - [c35]Huijuan He, Xiaohong Li, Zhiyong Feng, Jianye Hao, Xiaofei Wang, Haijun Zhang:
An Adaptive Handover Trigger Strategy for 5G C/U Plane Split Heterogeneous Network. MASS 2017: 476-480 - [c34]Hongbo Li, Xiaohong Li, Jianye Hao, Guangquan Xu, Zhiyong Feng, Xiaofei Xie:
FESR: A Framework for Eliciting Security Requirements Based on Integration of Common Criteria and Weakness Detection Formal Model. QRS 2017: 352-363 - [c33]Jiangjuan Wang, Xiaohong Li, Zhiyong Feng, Jianye Hao, Guangquan Xu, Zhuobing Han:
Automated Software Security Requirements Recommendation Based on FT-SR Model. SEKE 2017: 382-385 - 2016
- [j7]Xiaohong Li, Jiayi Xu, Guangquan Xu, Jianye Hao, Xiaoru Li, Zhiyong Feng, Honghao Gao:
Fepchecker: An Automatic Model Checker for Verifying Fairness and Non-Repudiation of Security Protocols in Web Service. Int. J. Softw. Eng. Knowl. Eng. 26(4): 563-586 (2016) - [j6]Songzheng Song, Jianye Hao, Yang Liu, Jun Sun, Ho-fung Leung, Jie Zhang:
Improved EGT-Based Robustness Analysis of Negotiation Strategies in Multiagent Systems via Model Checking. IEEE Trans. Hum. Mach. Syst. 46(2): 197-208 (2016) - [c32]Chao Yu, Hongtao Lv, Sandip Sen, Jianye Hao, Fenghui Ren, Rui Liu:
An Adaptive Learning Framework for Efficient Emergence of Social Norms: (Extended Abstract). AAMAS 2016: 1307-1308 - [c31]Chengwei Zhang, Xiaohong Li, Shuxin Li, Jianye Hao:
Dynamic analysis of cell interactions in biological environments under multiagent social learning framework. BIBM 2016: 1673-1678 - [c30]Xiaohong Li, Chengwei Zhang, Jianye Hao, Karl Tuyls, Siqi Chen, Zhiyong Feng:
Socially-Aware Multiagent Learning: Towards Socially Optimal Outcomes. ECAI 2016: 533-541 - [c29]Tianpei Yang, Zhaopeng Meng, Jianye Hao, Sandip Sen, Chao Yu:
Accelerating Norm Emergence Through Hierarchical Heuristic Learning. ECAI 2016: 1344-1352 - [c28]Jianye Hao, Eunsuk Kang, Jun Sun, Daniel Jackson:
Designing minimal effective normative systems with the help of lightweight formal methods. SIGSOFT FSE 2016: 50-60 - [c27]Ren Zhao, Xiaohong Li, Guangquan Xu, Zhiyong Feng, Jianye Hao:
E-SSL: An SSL Security-Enhanced Method for Bypassing MITM Attacks in Mobile Internet. SOFL+MSVL 2016: 101-120 - [c26]Kunding Fang, Xiaohong Li, Jianye Hao, Zhiyong Feng:
Formal Modeling and Verification of Security Protocols on Cloud Computing Systems Based on UML 2.3. Trustcom/BigDataSE/ISPA 2016: 852-859 - [i1]Fengyuan Zhu, Guangyong Chen, Jianye Hao, Pheng-Ann Heng:
Blind Image Denoising via Dependent Dirichlet Process Tree. CoRR abs/1601.03117 (2016) - 2015
- [j5]Jianye Hao, Ho-fung Leung:
Introducing decision entrustment mechanism into repeated bilateral agent interactions to achieve social optimality. Auton. Agents Multi Agent Syst. 29(4): 658-682 (2015) - [j4]Jianye Hao, Ho-fung Leung, Zhong Ming:
Multiagent Reinforcement Social Learning toward Coordination in Cooperative Multiagent Systems. ACM Trans. Auton. Adapt. Syst. 9(4): 20:1-20:20 (2015) - [j3]Jianye Hao, Ho-fung Leung:
Reinforcement social learning of social optimality with influencer agents. Web Intell. 13(3): 167-178 (2015) - [c25]Jianye Hao, Jun Sun, Dongping Huang, Yi Cai, Chao Yu:
Heuristic Collective Learning for Efficient and Robust Emergence of Social Norms. AAMAS 2015: 1647-1648 - [c24]Chao Yu, Hongtao Lv, Fenghui Ren, Honglin Bao, Jianye Hao:
Hierarchical Learning for Emergence of Social Norms in Networked Multiagent Systems. Australasian Conference on Artificial Intelligence 2015: 630-643 - [c23]Siqi Chen, Jianye Hao, Gerhard Weiss, Shuang Zhou, Zili Zhang:
Toward Efficient Agreements in Real-Time Multilateral Agent-Based Negotiations. ICTAI 2015: 896-903 - [c22]Chi-Kong Chan, Jianye Hao, Ho-fung Leung:
Reciprocal Social Strategy in Social Repeated Games. ICTAI 2015: 966-973 - [c21]Jianye Hao, Yinxing Xue, Mahinthan Chandramohan, Yang Liu, Jun Sun:
An Adaptive Markov Strategy for Effective Network Intrusion Detection. ICTAI 2015: 1085-1092 - 2014
- [j2]Jianye Hao, Songzheng Song, Ho-fung Leung, Zhong Ming:
An efficient and robust negotiating strategy in bilateral negotiations over multiple items. Eng. Appl. Artif. Intell. 34: 45-57 (2014) - [c20]Jianye Hao, Eunsuk Kang, Daniel Jackson, Jun Sun:
Adaptive Defending Strategy for Smart Grid Attacks. SEGS@CCS 2014: 23-30 - [c19]Siqi Chen, Jianye Hao, Gerhard Weiss, Karl Tuyls, Ho-fung Leung:
Spatial evolutionary game-theoretic perspective on agent-based complex negotiations. ECAI 2014: 983-984 - [c18]Jianye Hao, Dongping Huang, Yi Cai, Ho-fung Leung:
Networked Reinforcement Social Learning towards Coordination in Cooperative Multiagent Systems. ICTAI 2014: 374-378 - [c17]Siqi Chen, Jianye Hao, Gerhard Weiss, Karl Tuyls, Ho-fung Leung:
Evaluating Practical Automated Negotiation Based on Spatial Evolutionary Game Theory. KI 2014: 147-158 - [c16]Jianye Hao, Siqi Chen, Gerhard Weiss, Ho-fung Leung, Karl Tuyls:
Robustness Analysis of Negotiation Strategies through Multiagent Learning in Repeated Negotiation Games. MATES 2014: 41-56 - [p1]Jianye Hao, Ho-fung Leung:
CUHKAgent: An Adaptive Negotiation Strategy for Bilateral Negotiations over Multiple Items. Novel Insights in Agent-based Complex Automated Negotiation 2014: 171-179 - 2013
- [b1]Jianye Hao:
Fairness, social optimality and individual rationality in agent interactions. Chinese University of Hong Kong, Hong Kong, 2013 - [j1]Jianye Hao, Ho-fung Leung:
Achieving Socially Optimal Outcomes in Multiagent Systems with Reinforcement Social Learning. ACM Trans. Auton. Adapt. Syst. 8(3): 15:1-15:23 (2013) - [c15]Jianye Hao, Ho-fung Leung:
Reinforcement social learning of coordination in cooperative multiagent systems. AAMAS 2013: 1321-1322 - [c14]Jianye Hao, Ho-fung Leung:
The Dynamics of Reinforcement Social Learning in Cooperative Multiagent Systems. IJCAI 2013: 184-190 - 2012
- [c13]Jianye Hao, Ho-fung Leung:
Achieving Social Optimality with Influencer Agents. Complex 2012: 140-151 - [c12]Jianye Hao, Ho-fung Leung:
ABiNeS: An Adaptive Bilateral Negotiating Strategy over Multiple Items. IAT 2012: 95-102 - [c11]Songzheng Song, Jianye Hao, Yang Liu, Jun Sun, Ho-fung Leung, Jin Song Dong:
Analyzing multi-agent systems with probabilistic model checking approach. ICSE 2012: 1337-1340 - [c10]Jianye Hao, Ho-fung Leung:
Incorporating Fairness into Infinitely Repeated Games with Conflicting Interests for Conflicts Elimination. ICTAI 2012: 314-321 - [c9]Jianye Hao, Ho-fung Leung:
Learning to Achieve Socially Optimal Solutions in General-Sum Games. PRICAI 2012: 88-99 - [c8]Jianye Hao, Ho-fung Leung:
Incorporating Fairness into Agent Interactions Modeled as Two-Player Normal-Form Games. PRICAI 2012: 100-111 - [c7]Jianye Hao, Songzheng Song, Yang Liu, Jun Sun, Lin Gui, Jin Song Dong, Ho-fung Leung:
Probabilistic Model Checking Multi-agent Behaviors in Dispersion Games Using Counter Abstraction. PRIMA 2012: 16-30 - [c6]Jianye Hao, Ho-fung Leung:
An Efficient Negotiation Protocol to Achieve Socially Optimal Allocation. PRIMA 2012: 46-60 - [c5]Jianye Hao, Ho-fung Leung:
Maintaining cooperation in homogeneous multi-agent system. SMC 2012: 301-306 - 2011
- [c4]Jianye Hao, Ho-fung Leung:
Learning to Achieve Social Rationality Using Tag Mechanism in Repeated Interactions. ICTAI 2011: 148-155 - 2010
- [c3]Jianye Hao, Ho-fung Leung:
Strategy and Fairness in Repeated Two-agent Interaction. ICTAI (2) 2010: 3-6
2000 – 2009
- 2009
- [c2]Ling Wang, Jianye Hao, Feixuan Wang:
Bus-Based and NoC Infrastructure Performance Emulation and Comparison. ITNG 2009: 855-858 - 2007
- [c1]Jianye Hao, Wangmeng Zuo, Kuanquan Wang:
Theoretical Investigation on Post-Processed LDA for Face and Palmprint Recognition. CIS 2007: 301-305
Coauthor Index
[j48] [j47] [j45] [j42] [c225] [c214] [c212] [c201] [i136] [i129] [j35] [c182] [c171] [c160] [c154] [c153] [i112] [i95] [c152] [c149] [c147] [c144] [c141] [c140] [c139] [c131] [c124] [i84] [i81] [i73] [i69] [i66] [i65] [i63] [c119] [c117] [c114] [c102] [c99] [c97] [i62] [i58] [i53] [i51] [i48] [i45] [i42] [i40] [c92] [i28] [i26] [i12]
Zhaopeng Meng
aka: Zhao-Peng Meng
aka: Zhao-Peng Meng
[j44] [c204] [c203] [i142] [i125] [c170] [c162] [i115] [c152] [c148] [c142] [c138] [c134] [i82] [i80] [i74] [i68] [i65] [c120] [c119] [c118] [c115] [c102] [i61] [i60] [i50] [i49] [i43] [i41] [c90] [c88] [c86] [c81] [c80] [i39] [i38] [i37] [i36] [i28] [i26] [c72] [c69] [c59] [i21] [i20] [i15] [i6] [i2] [c41]
[c225] [c224] [c223] [c222] [c219] [c218] [c217] [c215] [c211] [c209] [c206] [c204] [c203] [c195] [c191] [i142] [i140] [i139] [i137] [i134] [i128] [i125] [i124] [j41] [c184] [c181] [c177] [c176] [c171] [c170] [c164] [c162] [c161] [c159] [c158] [i107] [i102] [i99] [i96] [i93] [i91] [c148] [c142] [c138] [c134] [c129] [c122] [i84] [i82] [i80] [i77] [i74] [i72] [i68] [j27] [c115] [c109] [c108] [c98] [i59] [i50] [i43] [i41] [j20] [c94] [c80] [c77] [i37] [i32] [c68] [c67] [c61] [c60] [c57] [c47] [c45] [i11] [i4] [i2]
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