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ORCIDDong Li 0016
李栋
Person information
- unicode name: 李栋
- affiliation: Huawei Technologies, Noah's Ark Lab, Beijing, China
- affiliation (PhD 2019): Chinese Academy of Sciences, Institute of Automation, State Key Laboratory of Management and Control for Complex Systems,Beijing, China
Other persons with the same name
- Dong Li — disambiguation page
- Dong Li 0001
![[0000-0001-9336-0694]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-9336-0694")
— University of California, Merced, CA, USA (and 2 more) - Dong Li 0002 — PLA University of Science and Technology, College of Command Information System, Nanjing, China
- Dong Li 0003 — Nanjing Agricultural University, NETCIA, Jiangsu Key Laboratory for Information Agriculture, China
- Dong Li 0004 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
- Dong Li 0005 — Loughborough University, UK (and 1 more)
- Dong Li 0006 — University of Liverpool, Liverpool Management School, UK (and 1 more)
- Dong Li 0007 — Chongqing University, Key Laboratory of Aerocraft Tracking Telemetering and Command and Communication, China (and 1 more)
- Dong Li 0008 — Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
- Dong Li 0009 — Macau University of Science and Technology, Faculty of Information Technology, Macau (and 1 more)
- Dong Li 0010 — Hohai University, College of Computer and Information, Array and Information Processing Laboratory, Nanjing, China
- Dong Li 0011 — University of Birmingham, UK
- Dong Li 0012 — University of Southampton, UK
- Dong Li 0013 — Beijing Institute of Technology, School of Optoelectronics, China
- Dong Li 0014 — Chinese Academy of Sciences, National Space Science Center, Key Laboratory of Microwave Remote Sensing, Beijing, China
- Dong Li 0015 — Shanghai Jiao Tong University, School of Mechanical Engineering, China
- Dong Li 0018 — Beijing Institute of Radiation Medicine, Beijing, China
- Dong Li 0019 — University of Science and Technology of China, Hefei, China
- Dong Li 0020 — Unit 94, PLA, Dalian, China
- Dong Li 0021 — Beijing Tsinghua Tongheng Urban Planning & Design Institute, China (and 1 more)
- Dong Li 0022 — Chinese Academy of Sciences, Institute of Acoustics, Ocean Acoustic Technology Center, Beijing, China
- Dong Li 0023 — Northeastern University, School of Computer Science and Engineering, Shenyang, China
- Dong Li 0024 — Fudan University, Software School, Shanghai, China
- Dong Li 0025 — AMD Inc., Beijing, China (and 3 more)
- Dong Li 0026 — Xi'an Satellite Control Center, China
- Dong Li 0027 — Chinese Academy of Sciences, Shenyang Institute of Automation, State Key Laboratory of Robotics, China
- Dong Li 0028 — Guangdong University of Technology, School of Automation, Guangzhou, China (and 1 more)
- Dong Li 0029 — Xi'an Institute of Space Radio Technology, CAST, China
- Dong Li 0031 — University of Massachusetts Amherst, MA, USA
- Dong Li 0032 — Xinyang Agriculture and Forestry University, China
- Dong Li 0033 — Shanghai AI Lab, China
- Dong Li 0034 — Tianjin University, China
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Journal Articles
- 2024
[j8]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)- [j7]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) - [j6]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) - [j5]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) - [j4]Chang Meng, Ziqi Zhao, Wei Guo, Yingxue Zhang, Haolun Wu, Chen Gao, Dong Li, Xiu Li, Ruiming Tang:
Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation. ACM Trans. Inf. Syst. 42(1): 30:1-30:27 (2024) - 2023
- [j3]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) - 2021
- [j2]Yi Lu, Yaran Chen, Dongbin Zhao, Dong Li:
MGRL: Graph neural network based inference in a Markov network with reinforcement learning for visual navigation. Neurocomputing 421: 140-150 (2021) - 2019
- [j1]Dong Li, Dongbin Zhao, Qichao Zhang, Yaran Chen:
Reinforcement Learning and Deep Learning Based Lateral Control for Autonomous Driving [Application Notes]. IEEE Comput. Intell. Mag. 14(2): 83-98 (2019)
Conference and Workshop Papers
- 2024
- [c41]Taicai Chen, Yue Duan, Dong Li, Lei Qi, Yinghuan Shi, Yang Gao:
PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance. AAAI 2024: 11381-11389 - [c40]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 - [c39]Bowen Wang, Chen Liang, Jiaze Wang, Jiezhong Qiu, Furui Liu, Shaogang Hao, Dong Li, Guangyong Chen, Xiaolong Zou, Pheng-Ann Heng:
DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems. AAAI 2024: 15456-15465 - [c38]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 - [c37]Ke Xue, Ren-Jian Wang, Pengyi Li, Dong Li, Jianye Hao, Chao Qian:
Sample-Efficient Quality-Diversity by Cooperative Coevolution. ICLR 2024 - [c36]Haoyu Ma, Jialong Wu, Ningya Feng, Chenjun Xiao, Dong Li, Jianye Hao, Jianmin Wang, Mingsheng Long:
HarmonyDream: Task Harmonization Inside World Models. ICML 2024 - [c35]Chengrui Gao, Haopu Shang, Ke Xue, Dong Li, Chao Qian:
Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy. IJCAI 2024: 6914-6922 - [c34]Quanlin Chen, Jing Huo, Yiyu Chen, Tianyu Ding, Yang Gao, Dong Li, Xu He:
Re-examining Supervised Dimension Reduction for High-Dimensional Bayesian Optimization. PPSN (2) 2024: 356-373 - 2023
- [c33]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 - [c32]Jingqing Ruan, Xiaotian Hao, Dong Li, Hangyu Mao:
Learning to Collaborate by Grouping: A Consensus-Oriented Strategy for Multi-Agent Reinforcement Learning. ECAI 2023: 2010-2017 - [c31]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 - [c30]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 - [c29]Yi Ma, Hongyao Tang, Dong Li, Zhaopeng Meng:
Reining Generalization in Offline Reinforcement Learning via Representation Distinction. NeurIPS 2023 - [c28]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 - [c27]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 - 2022
- [c26]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 - [c25]Shiyu Huang, Chao Yu, Bin Wang, Dong Li, Yu Wang, Ting Chen, Jun Zhu:
VMAPD: Generate Diverse Solutions for Multi-Agent Games with Recurrent Trajectory Discriminators. CoG 2022: 9-16 - [c24]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 - [c23]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 - [c22]Zheng Fang, Ziyun Zhang, Guojie Song, Yingxue Zhang, Dong Li, Jianye Hao, Xi Wang:
Invariant Factor Graph Neural Networks. ICDM 2022: 933-938 - [c21]Changmin Yu, Dong Li, Jianye Hao, Jun Wang, Neil Burgess:
Learning State Representations via Retracing in Reinforcement Learning. ICLR 2022 - [c20]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 - [c19]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 - [c18]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 - [c17]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 - 2021
- [c16]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 - [c15]Feng Xu, Shengyi Jiang, Hao Yin, Zongzhang Zhang, Yang Yu, Ming Li, Dong Li, Wulong Liu:
Enhancing Context-Based Meta-Reinforcement Learning Algorithms via An Efficient Task Encoder (Student Abstract). AAAI 2021: 15937-15938 - [c14]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 - [c13]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 - [c12]Amur Ghose, Vincent Zhang, Yingxue Zhang, Dong Li, Wulong Liu, Mark Coates:
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction. ICCAD 2021: 1-9 - [c11]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 - [c10]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 - [c9]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 - 2020
- [c8]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 - 2019
- [c7]Dong Li, Dongbin Zhao, Qichao Zhang:
Reinforcement Learning based Lane Change Decision-Making with Imaginary Sampling. SSCI 2019: 16-21 - 2018
- [c6]Yaran Chen, Dongbin Zhao, Haoran Li, Dong Li, Ping Guo:
A temporal-based deep learning method for multiple objects detection in autonomous driving. IJCNN 2018: 1-6 - [c5]Dong Li, Dongbin Zhao, Yaran Chen, Qichao Zhang:
DeepSign: Deep Learning based Traffic Sign Recognition. IJCNN 2018: 1-6 - [c4]Zhentao Tang, Kun Shao, Yuanheng Zhu, Dong Li, Dongbin Zhao, Tingwen Huang:
A Review of Computational Intelligence for StarCraft AI. SSCI 2018: 1167-1173 - [c3]Dong Li, Dongbin Zhao, Qichao Zhang, Yuanheng Zhu:
An Autonomous Driving Experience Platform with Learning-Based Functions. SSCI 2018: 1174-1179 - 2017
- [c2]Dong Li, Dongbin Zhao, Qichao Zhang, Chaomin Luo:
Policy gradient methods with Gaussian process modelling acceleration. IJCNN 2017: 1774-1779 - 2015
- [c1]Dong Li, Dongbin Zhao, Yuanheng Zhu, Zhongpu Xia:
Thermal comfort control based on MEC algorithm for HVAC systems. IJCNN 2015: 1-6
Informal and Other Publications
- 2024
- [i34]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) - [i33]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) - [i32]Yewen Li, Chaojie Wang, Xiaobo Xia, Xu He, Ruyi An, Dong Li, Tongliang Liu, Bo An, Xinrun Wang:
Resultant: Incremental Effectiveness on Likelihood for Unsupervised Out-of-Distribution Detection. CoRR abs/2409.03801 (2024) - 2023
- [i31]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) - [i30]Jingqing Ruan, Xiaotian Hao, Dong Li, Hangyu Mao:
Learning to Collaborate by Grouping: a Consensus-oriented Strategy for Multi-agent Reinforcement Learning. CoRR abs/2307.15530 (2023) - [i29]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) - [i28]Chengrui Gao, Haopu Shang, Ke Xue, Dong Li, Chao Qian:
Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy. CoRR abs/2308.14104 (2023) - [i27]Taicai Chen, Yue Duan, Dong Li, Lei Qi, Yinghuan Shi, Yang Gao:
PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance. CoRR abs/2312.16983 (2023) - 2022
- [i26]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) - [i25]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) - [i24]Chao Wang, Chen Chen, Dong Li, Bin Wang:
Rethinking Reinforcement Learning based Logic Synthesis. CoRR abs/2205.07614 (2022) - [i23]Changmin Yu, David Mguni, Dong Li, Aivar Sootla, Jun Wang, Neil Burgess:
SEREN: Knowing When to Explore and When to Exploit. CoRR abs/2205.15064 (2022) - [i22]Chang Meng, Ziqi Zhao, Wei Guo, Yingxue Zhang, Haolun Wu, Chen Gao, Dong Li, Xiu Li, Ruiming Tang:
Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation. CoRR abs/2208.01849 (2022) - [i21]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) - [i20]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) - [i19]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) - [i18]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) - [i17]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
- [i16]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) - [i15]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) - [i14]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) - [i13]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) - [i12]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) - [i11]Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao, Dong Li:
Empirical Policy Optimization for n-Player Markov Games. CoRR abs/2110.08979 (2021) - [i10]Amur Ghose, Vincent Zhang, Yingxue Zhang, Dong Li, Wulong Liu, Mark Coates:
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction. CoRR abs/2111.05941 (2021) - [i9]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) - [i8]Changmin Yu, Dong Li, Jianye Hao, Jun Wang, Neil Burgess:
Learning State Representations via Retracing in Reinforcement Learning. CoRR abs/2111.12600 (2021) - [i7]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) - [i6]Claire Glanois, Xuening Feng, Zhaohui Jiang, Paul Weng, Matthieu Zimmer, Dong Li, Wulong Liu:
Neuro-Symbolic Hierarchical Rule Induction. CoRR abs/2112.13418 (2021) - 2020
- [i5]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) - [i4]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) - 2019
- [i3]Dong Li, Dongbin Zhao, Qichao Zhang, Yuzheng Zhuang, Bin Wang:
Graph Attention Memory for Visual Navigation. CoRR abs/1905.13315 (2019) - [i2]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
- [i1]Dong Li, Dongbin Zhao, Qichao Zhang, Yaran Chen:
Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving. CoRR abs/1810.12778 (2018)
Coauthor Index
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