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ORCIDYan Zheng 0002
Person information
- affiliation: Tianjin University, China
Other persons with the same name
- Yan Zheng — disambiguation page
- Yan Zheng 0001
![[0000-0003-4422-9889]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-4422-9889")
— Visa Research, Palo Alto, CA, USA (and 1 more)
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2020 – today
- 2024
[j10]Yanran Li, Yan Zheng, Yon Shin Teo, Shangwei Lin:
Is AI testing beneficial for the manufacturer and social welfare? Optimal test strategy of a smart product. Expert Syst. Appl. 241: 122637 (2024)- [c55]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 - [c54]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 - [c53]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 - [c52]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 - [c51]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 - [c50]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 - [c49]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 - [c48]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 - [c47]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 - [c46]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 - [c45]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 - [c44]Pengyi Li, Yan Zheng, Hongyao Tang, Xian Fu, Jianye Hao:
EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search. ICML 2024 - [c43]Zhiming Li, Yushi Cao, Yan Zheng, Xu Liu, Bozhi Wu, Tianlin Li, Xiufeng Xu, Junzhe Jiang, Yon Shin Teo, Shang-Wei Lin, Yang Liu:
Improving Neural Logic Machines via Failure Reflection. ICML 2024 - [c42]Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Fazl Barez:
Value-Evolutionary-Based Reinforcement Learning. ICML 2024 - [c41]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 - [c40]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 - [i36]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) - [i35]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) - [i34]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) - [i33]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) - [i32]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) - [i31]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) - [i30]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) - [i29]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) - 2023
- [j9]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) - [c39]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 - [c38]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 - [c37]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 - [c36]Yongliang Lv, Yuanqiang Yu, Yan Zheng, Jianye Hao, Yongming Wen, Yue Yu:
Limited Information Opponent Modeling. ICANN (8) 2023: 511-522 - [c35]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 - [c34]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 - [c33]Zhuo Li, Derui Zhu, Yujing Hu, Xiaofei Xie, Lei Ma, Yan Zheng, Yan Song, Yingfeng Chen, Jianjun Zhao:
Neural Episodic Control with State Abstraction. ICLR 2023 - [c32]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 - [c31]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 - [c30]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 - [c29]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 - [c28]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 - [c27]Yushi Cao, Yanran Li, Yon Shin Teo, Yan Zheng, Zhexin Liang, Shang-Wei Lin:
An Automatic Test Plan Generation Approach for Automotive Software Testing. SoMeT 2023: 18-27 - [i28]Zhuo Li, Derui Zhu, Yujing Hu, Xiaofei Xie, Lei Ma, Yan Zheng, Yan Song, Yingfeng Chen, Jianjun Zhao:
Neural Episodic Control with State Abstraction. CoRR abs/2301.11490 (2023) - [i27]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) - [i26]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) - [i25]Yi Liu, Gelei Deng, Yuekang Li, Kailong Wang, Tianwei Zhang, Yepang Liu, Haoyu Wang, Yan Zheng, Yang Liu:
Prompt Injection attack against LLM-integrated Applications. CoRR abs/2306.05499 (2023) - [i24]Xiaohan Hu, Yi Ma, Chenjun Xiao, Yan Zheng, Zhaopeng Meng:
In-Sample Policy Iteration for Offline Reinforcement Learning. CoRR abs/2306.05726 (2023) - [i23]Shixi Lian, Yi Ma, Jinyi Liu, Yan Zheng, Zhaopeng Meng:
HIPODE: Enhancing Offline Reinforcement Learning with High-Quality Synthetic Data from a Policy-Decoupled Approach. CoRR abs/2306.06329 (2023) - [i22]Kai Zhao, Yi Ma, Jinyi Liu, Yan Zheng, Zhaopeng Meng:
Ensemble-based Offline-to-Online Reinforcement Learning: From Pessimistic Learning to Optimistic Exploration. CoRR abs/2306.06871 (2023) - [i21]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) - [i20]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) - [i19]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) - [i18]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) - 2022
- [c26]Yining Li, Tianpei Yang, Jianye Hao, Yan Zheng, Hongyao Tang:
Efficient Deep Reinforcement Learning via Policy-Extended Successor Feature Approximator. DAI 2022: 29-44 - [c25]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 - [c24]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 - [c23]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 - [c22]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 - [c21]Yushi Cao, Yon Shin Teo, Yan Zheng, Yuxuan Toh, Shang-Wei Lin:
A Holistic Automated Software Structure Exploration Framework for Testing. SoMeT 2022: 286-297 - [c20]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 - [i17]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) - [i16]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) - [i15]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) - [i14]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) - [i13]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) - [i12]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) - [i11]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) - 2021
- [j8]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) - [j7]Yan Zheng, Ziming Yan, Kangjie Chen, Jianwen Sun, Yan Xu, Yang Liu:
Vulnerability Assessment of Deep Reinforcement Learning Models for Power System Topology Optimization. IEEE Trans. Smart Grid 12(4): 3613-3623 (2021) - [c19]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 - [c18]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 - [c17]Xiaoyang Gao, Siqi Chen, Yan Zheng, Jianye Hao:
A deep reinforcement learning-based agent for negotiation with multiple communication channels. ICTAI 2021: 868-872 - [c16]Yushi Cao, Yan Zheng, Shang-Wei Lin, Yang Liu, Yon Shin Teo, Yuxuan Toh, Vinay Vishnumurthy Adiga:
Automatic HMI Structure Exploration Via Curiosity-Based Reinforcement Learning. ASE 2021: 1151-1155 - [c15]Leling Wu, Siqi Chen, Xiaoyang Gao, Yan Zheng, Jianye Hao:
Detecting and Learning Against Unknown Opponents for Automated Negotiations. PRICAI (3) 2021: 17-31 - [i10]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) - [i9]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) - [i8]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) - [i7]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) - 2020
- [j6]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) - [c14]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 - [c13]Jianwen Sun, Tianwei Zhang, Xiaofei Xie, Lei Ma, Yan Zheng, Kangjie Chen, Yang Liu:
Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning. AAAI 2020: 5883-5891 - [c12]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 - [c11]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 - [i6]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) - [i5]Jianwen Sun, Tianwei Zhang, Xiaofei Xie, Lei Ma, Yan Zheng, Kangjie Chen, Yang Liu:
Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning. CoRR abs/2005.07099 (2020) - [i4]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)
2010 – 2019
- 2019
- [j5]Yanan Zhang, Zhaopeng Meng, Yan Zheng, Anca L. Ralescu:
Schedule optimization under fuzzy constraints of vehicle capacity. Fuzzy Optim. Decis. Mak. 18(2): 131-150 (2019) - [c10]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 - [c9]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 - [c8]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 - [c7]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 - [c6]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 - 2018
- [j4]Yan Zheng, Yanran Li, Chung-Ming Own, Zhaopeng Meng, Mengya Gao:
Real-time predication and navigation on traffic congestion model with equilibrium Markov chain. Int. J. Distributed Sens. Networks 14(4) (2018) - [j3]Yan Zheng, Zan Wang, Xiangyu Fan, Xiang Chen, Zijiang Yang:
Localizing multiple software faults based on evolution algorithm. J. Syst. Softw. 139: 107-123 (2018) - [c5]Jinchen Zhang, Mu Zhang, Yan Zheng, Deng Pan, Sihong Zhou:
An Accurate Modeling Technology Based on Depth Information of Cultural Relics. ISCID (1) 2018: 239-243 - [c4]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 - [c3]Yan Zheng, Zhaopeng Meng, Jianye Hao, Zongzhang Zhang:
Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments. PRICAI 2018: 421-429 - [i3]Yan Zheng, Jianye Hao, Zongzhang Zhang:
Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments. CoRR abs/1802.08534 (2018) - [i2]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) - [i1]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
- [c2]Mu Zhang, Yan Zheng, Chenhui Cui, Zhaopeng Meng, Chung-Ming Own:
Preliminary Application of Gesture Recognition to Virtual Acupuncture. ISCID (1) 2017: 366-369 - [c1]Rui Zhao, Zhao-Peng Meng, Yan Zheng, Qiangguo Jin, Anbang Ruan, Hanglun Xie:
SOMR: Towards a Security-Oriented MapReduce Infrastructure. TrustCom/BigDataSE/ICESS 2017: 530-537 - 2015
- [j2]Yan Zheng, Zhao-Peng Meng, Chao Xu:
A Short-Text Oriented Clustering Method for Hot Topics Extraction. Int. J. Softw. Eng. Knowl. Eng. 25(3): 453-472 (2015) - [j1]Yan Zheng, Xuecheng Nie, Zhao-Peng Meng, Wei Feng, Kang Zhang:
Layered modeling and generation of Pollock's drip style. Vis. Comput. 31(5): 589-600 (2015)
Coauthor Index
[c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c42] [c41] [c40] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [j9] [c39] [c38] [c37] [c36] [c35] [c34] [c32] [c31] [c30] [c29] [c28] [i27] [i26] [i21] [i20] [i19] [i18] [c26] [c25] [c24] [c23] [c22] [c20] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [j8] [c19] [c18] [c17] [c15] [i10] [i9] [i8] [i7] [j6] [c14] [c12] [c11] [i6] [i4] [c10] [c9] [c8] [c7] [c6] [c4] [c3] [i3] [i2] [i1]
Zhaopeng Meng
aka: Zhao-Peng Meng
aka: Zhao-Peng Meng
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last updated on 2024-11-15 20:37 CET by the dblp team
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