For a full list, please go to Google Scholar.
A Review of Cooperation in Multi-agent Learning
Yali Du, Joel Z. Leibo, Usman Islam, Richard Willis, and Peter Sunehag
arXiv preprint arXiv:2312.05162, 2023
Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination
Yang Li, Shao Zhang, Jichen Sun, Zhang Wenhao, Yali Du, Ying Wen, Xinbing Wang, Wei Pan
arxiv preprint arXiv:2306.03034
Cooperation on the Fly: Exploring Language Agents for Ad Hoc Teamwork in the Avalon Game
Zijing Shi, Meng Fang, Shunfeng Zheng, Shilong Deng, Ling Chen, Yali Du
arXiv preprint arXiv:2312.17515, 2023
Resolving social dilemmas with minimal reward transfer
Richard Willis, Yali Du, Joel Z. Leibo, and Michael Luck
arXiv preprint arXiv:2310.12928, 2023
A review of safe reinforcement learning: Methods, theory and applications
Shangding Gu, Long Yang, Yali Du, Guang Chen, Florian Walter, Jun Wang, Yaodong Yang, and Alois Knoll
arXiv preprint arXiv:2205.10330, 2022
ChessGPT: Bridging Policy Learning and Language Modeling
Feng Xidong, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, and Jun Wang
NeurIPS 2023
An Efficient End-to-End Training Approach for Zero-Shot Human-AI Coordination
Xue Yan, Jiaxian Guo, Xingzhou Lou, Jun Wang, Haifeng Zhang, Yali Du
Reduced Policy Optimization for Continuous Control with Hard Constraints
Shutong Ding, Jingya Wang, Yali Du, Ye Shi
Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach
Zhang, Yudi, Yali Du, Biwei Huang, Ziyan Wang, Jun Wang, Meng Fang, and Mykola Pechenizkiy
Invariant Learning via Probability of Sufficient and Necessary Causes
Mengyue Yang, Yonggang Zhang, Zhen Fang, Yali Du, Furui Liu, Jean-Francois Ton, Jianhong Wang, Jun Wang
Cooperative Open-ended Learning Framework for Zero-shot Coordination
Yang Li, Shao Zhang, Jichen Sun, Yali Du, Ying Wen, Xinbing Wang, Wei Pan
ICML 2023
Contextual Transformer for Offline Meta Reinforcement Learning
Runji Lin, Ye Li, Xidong Feng, Zhaowei Zhang, XIAN HONG WU FUNG, Haifeng Zhang, Jun Wang, Yali Du, Yaodong Yang
NeurIPS 2022 Foundation Models for Decision Making Workshop
Stay Moral and Explore: Learn to Behave Morally in Text-based Games
Zijing Shi, Meng Fang, Yunqiu Xu, Ling Chen, Yali Du
ICLR 2023
Is Nash Equilibrium Approximator Learnable?
Zhijian Duan, Wenhan Huang, Dinghuai Zhang, Yali Du, Jun Wang, Yaodong Yang and Xiaotie Deng
AAMAS 2023
PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination
Xingzhou Lou, Jiaxian Guo, Junge Zhang, Jun Wang, Kaiqi Huang and Yali Du
Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning
Runze Liu, Fengshuo Bai, Yali Du, Yaodong Yang
NeurIPS 2022
Scalable model-based policy optimization for decentralized networked systems
Yali Du, Chengdong Ma, Yuchen Liu, Runji Lin, Hao Dong, Jun Wang, and Yaodong Yang
IROS 2022
Perceiving the World: Question-guided Reinforcement Learning for Text-based Games
Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang
ACL 2022
Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL
Rui Yang, Yiming Lu, Wenzhe Li, Hao Sun, Meng Fang, Yali Du, Xiu Li, Lei Han, Chongjie Zhang
ICLR 2022
How to train your agent: Active learning from human preferences and justifications in safety-critical environments
Ilias Kazantzidis, Tim Norman, Yali Du, Christopher Freeman
AAMAS 2022
GCS: Graph-Based Coordination Strategy for Multi-Agent Reinforcement Learning
Jingqing Ruan, Yali Du, Xuantang Xiong, Dengpeng Xing, Xiyun Li, Linghui Meng, Haifeng Zhang, Jun Wang, Bo Xu
Learning to Identify Top Elo Ratings: A Dueling Bandits Approach
Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen
AAAI 2022
Generalization in Text-based Games via Hierarchical Reinforcement Learning
Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Chengqi Zhang
EMNLP 2021 (Findings)
Estimating Alpha-Rank from A Few Entries with Low Rank Matrix Completion
Yali Du, Xue Yan, Xu Chen, Jun Wang, Haifenng Zhang
ICML 2021
Learning in Nonzero-Sum Stochastic Games with Potentials
David Mguni, Yutong Wu, Yali Du, Yaodong Yang, Ziyi Wang, Minne Li, Ying Wen, Joel Jennings, Jun Wang
Ordering-Based Causal Discovery with Reinforcement Learning
Xiaoqiang Wang, Yali Du, Shengyu Zhu, Liangjun Ke, Zhitang Chen, Jianye Hao, Jun Wang
IJCAI-21
Reinforcement Recommendation with User Multi-aspect Preference
Xu Chen, Yali Du, Long Xia, Jun Wang
TheWebConf 2021
Learning Correlated Communication Topology in Multi-Agent Reinforcement learning
Yali Du, Bo Liu, Vincent Moens, Ziqi Liu, Zhicheng Ren, Jun Wang, Xu Chen, Haifeng Zhang
AAMAS 2021
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games
Yunqiu Xu*, Meng Fang*, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang
NeurIPS 2020
Learning Multi-Agent Communication with Policy Fingerprints for Adaptive Traffic Signal Control
Yifan Zhao, Gangyan Xu, Yali Du, Meng Fang
CASE 2020
LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning
Yali Du, Lei Han, Meng Fang, Tianhong Dai, Ji Liu, Dacheng Tao
NeurIPS 2019
Curriculum-guided Hindsight Experience Replay
Meng Fang*, Tianyi Zhou*, Yali Du, Lei Han, Zhengyou Zhang
Exploring content-based video relevance for video click-through rate prediction
Xun Wang, Yali Du, Leimin Zhang, Xirong Li, Miao Zhang, Jianfeng Dong
ACM Multimedia, 2019
Grid-Wise Control for Multi-Agent Reinforcement Learning in Video Game AI
Yali Du*, Lei Han*, Peng Sun*, Jiechao Xiong, Qing Wang, Xinghai Sun, Han Liu, Tong Zhang
ICML 2019
Towards Query Efficient Black-box Attacks: An Input-free Perspective
Yali Du, Meng Fang, Jinfeng Yi, Jun Cheng, Dacheng Tao
AISec@CCS 2018.
Privileged Matrix Factorization for Collaborative Filtering
Yali Du, Chang Xu, Dacheng Tao
IJCAI 2017
Collaborative Rating Allocation
Safe Multi-Agent Reinforcement Learning for Multi-Robot Control
Shangding Gu, Jakub Grudzien Kuba, Yuanpei Chen, Yali Du, Long Yang, Alois Knoll, Yaodong Yang
Artificial Intelligence 2023
Diversity-augmented intrinsic motivation for deep reinforcement learning
Tianhong Dai, Yali Du, Meng Fang, Anil Anthony Bharath
Neurocomputing 2022
Reinforcement Learning with Multiple Relational Attention for Solving Vehicle Routing Problems
Yunqiu Xu, Meng Fang, Ling Chen, Gangyan Xu, Yali Du, Chengqi Zhang
IEEE Transactions on Cybernetics (TCYB), 2021
Enhancing the Robustness of Neural Collaborative Filtering Systems Under Malicious Attacks
IEEE Transactions on Multimedia (TMM), 2019
Matrix Factorization for Collaborative Budget Allocation
IEEE Transactions on Automation Science and Engineering (TASE), 2018