Learning in Multi-agent Systems with Sparse Interactions by Knowledge Transfer and Game Abstraction. - Yujing Hu; Yang Gao 001; Bo An 001 (AAMAS, 2015)

Multiagent Reinforcement Learning With Unshared Value Functions. - Yujing Hu; Yang Gao 001; Bo An 001 (IEEE Trans. Cybern., 2015)

Accelerating Multiagent Reinforcement Learning by Equilibrium Transfer. - Yujing Hu; Yang Gao 001; Bo An 001 (IEEE Trans. Cybern., 2015)

Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application. - Yujing Hu; Qing Da; Anxiang Zeng; Yang Yu 001; Yinghui Xu (KDD, 2018)

Accelerating Nash Q-Learning with Graphical Game Representation and Equilibrium Solving. - Yunkai Zhuang; Xingguo Chen; Yang Gao 001; Yujing Hu (ICTAI, 2019)

Explicitly Coordinated Policy Iteration. - Yujing Hu; Yingfeng Chen; Changjie Fan; Jianye Hao (IJCAI, 2019)

Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns. - Yong Liu 007; Yujing Hu; Yang Gao 001; Yingfeng Chen; Changjie Fan (IJCAI, 2019)

Multi-Agent Game Abstraction via Graph Attention Neural Network. - Yong Liu 007; Weixun Wang; Yujing Hu; Jianye Hao; Xingguo Chen; Yang Gao 001 (AAAI, 2020)

From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning. - Weixun Wang; Tianpei Yang; Yong Liu 007; Jianye Hao; Xiaotian Hao; Yujing Hu; Yingfeng Chen; Changjie Fan; Yang Gao 001 (AAAI, 2020)

Mastering Basketball With Deep Reinforcement Learning: An Integrated Curriculum Training Approach. - Hangtian Jia; Chunxu Ren; Yujing Hu; Yingfeng Chen; Tangjie Lv; Changjie Fan; Hongyao Tang; Jianye Hao (AAMAS, 2020)

Efficient Deep Reinforcement Learning through Policy Transfer. - Tianpei Yang; Jianye Hao; Zhaopeng Meng; Zongzhang Zhang; Yujing Hu; Yingfeng Chen; Changjie Fan; Weixun Wang; Zhaodong Wang; Jiajie Peng (AAMAS, 2020)

Exploring Unknown States with Action Balance. - Yan Song; Yingfeng Chen; Yujing Hu; Changjie Fan (CoG, 2020)

Action Semantics Network: Considering the Effects of Actions in Multiagent Systems. - Weixun Wang; Tianpei Yang; Yong Liu 007; Jianye Hao; Xiaotian Hao; Yujing Hu; Yingfeng Chen; Changjie Fan; Yang Gao 001 (ICLR, 2020)

Q-value Path Decomposition for Deep Multiagent Reinforcement Learning. - Yaodong Yang 002; Jianye Hao; Guangyong Chen; Hongyao Tang; Yingfeng Chen; Yujing Hu; Changjie Fan; Zhongyu Wei (ICML, 2020)

Efficient Deep Reinforcement Learning via Adaptive Policy Transfer. - Tianpei Yang; Jianye Hao; Zhaopeng Meng; Zongzhang Zhang; Yujing Hu; Yingfeng Chen; Changjie Fan; Weixun Wang; Wulong Liu; Zhaodong Wang; Jiajie Peng (IJCAI, 2020)

Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping. - Yujing Hu; Weixun Wang; Hangtian Jia; Yixiang Wang; Yingfeng Chen; Jianye Hao; Feng Wu 001; Changjie Fan (NeurIPS, 2020)

Learning When to Transfer among Agents: An Efficient Multiagent Transfer Learning Framework. - Tianpei Yang; Weixun Wang; Hongyao Tang; Jianye Hao; Zhaopeng Meng; Wulong Liu; Yujing Hu; Yingfeng Chen (CoRR, 2020)

Fever Basketball: A Complex, Flexible, and Asynchronized Sports Game Environment for Multi-agent Reinforcement Learning. - Hangtian Jia; Yujing Hu; Yingfeng Chen; Chunxu Ren; Tangjie Lv; Changjie Fan; Chongjie Zhang (CoRR, 2020)

Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games. - Xiangyu Liu; Hangtian Jia; Ying Wen 001; Yujing Hu; Yingfeng Chen; Changjie Fan; Zhipeng Hu; Yaodong Yang 001 (NeurIPS, 2021)

Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. - Stephanie Milani; Anssi Kanervisto; Karolis Ramanauskas; Sander Schulhoff; Brandon Houghton; Sharada P. Mohanty; Byron Galbraith; Ke Chen; Yan Song; Tianze Zhou; Bingquan Yu; He Liu; et al. (NeurIPS (Competition and Demos), 2021)

An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning. - Tianpei Yang; Weixun Wang; Hongyao Tang; Jianye Hao; Zhaopeng Meng; Hangyu Mao; Dong Li 016; Wulong Liu; Yingfeng Chen; Yujing Hu; Changjie Fan; Chengwei Zhang 001 (NeurIPS, 2021)

Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration. - Lulu Zheng; Jiarui Chen; Jianhao Wang; Jiamin He; Yujing Hu; Yingfeng Chen; Changjie Fan; Yang Gao 001; Chongjie Zhang (NeurIPS, 2021)

Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games. - Xiangyu Liu; Hangtian Jia; Ying Wen 001; Yaodong Yang 001; Yujing Hu; Yingfeng Chen; Changjie Fan; Zhipeng Hu (CoRR, 2021)

Discharge Test of Unmanned Aerial Vehicles and Live High-voltage Wires. - Chao Feng; Weike Liu; Xianhui Cao; Zhiwei Jia; Yujing Hu (ICCIR, 2022)

Individual Reward Assisted Multi-Agent Reinforcement Learning. - Li Wang; Yupeng Zhang; Yujing Hu; Weixun Wang; Chongjie Zhang; Yang Gao 001; Jianye Hao; Tangjie Lv; Changjie Fan (ICML, 2022)

DDMA: Discrepancy-Driven Multi-agent Reinforcement Learning. - Chao Li; Yujing Hu; Pinzhuo Tian; Shaokang Dong; Yang Gao 001 (PRICAI (3), 2022)

Automatic Reward Design via Learning Motivation-Consistent Intrinsic Rewards. - Yixiang Wang; Yujing Hu; Feng Wu 001; Yingfeng Chen (CoRR, 2022)

Distributed Multi-Robot Obstacle Avoidance via Logarithmic Map-based Deep Reinforcement Learning. - Jiafeng Ma; Guangda Chen; Yingfeng Chen; Yujing Hu; Changjie Fan; Jianming Zhang (CoRR, 2022)

Off-Beat Multi-Agent Reinforcement Learning. - Wei Qiu 001; Weixun Wang; Rundong Wang; Bo An 001; Yujing Hu; Svetlana Obraztsova; Zinovi Rabinovich; Jianye Hao; Yingfeng Chen; Changjie Fan (AAMAS, 2023)

Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning. - Shanqi Liu; Yujing Hu; Runze Wu 001; Dong Xing; Yu Xiong; Changjie Fan; Kun Kuang; Yong Liu 007 (AAMAS, 2023)

Neural Episodic Control with State Abstraction. - Zhuo Li; Derui Zhu; Yujing Hu; Xiaofei Xie; Lei Ma 003; Yan Zheng 002; Yan Song; Yingfeng Chen; Jianjun Zhao 001 (ICLR, 2023)

EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model. - Yifu Yuan; Jianye Hao; Fei Ni 001; Yao Mu 001; Yan Zheng 002; Yujing Hu; Jinyi Liu 002; Yingfeng Chen; Changjie Fan (ICLR, 2023)

Widget Detection-based Testing for Industrial Mobile Games. - Xiongfei Wu; Jiaming Ye; Ke Chen; Xiaofei Xie; Yujing Hu; Ruochen Huang; Lei Ma 003; Jianjun Zhao 001 (ICSE-SEIP, 2023)

Conservative Offline Policy Adaptation in Multi-Agent Games. - Chengjie Wu; Pingzhong Tang; Jun Yang 028; Yujing Hu; Tangjie Lv; Changjie Fan; Chongjie Zhang (NeurIPS, 2023)

Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning. - Rundong Wang; Longtao Zheng; Wei Qiu 001; Bowei He; Bo An 001; Zinovi Rabinovich; Yujing Hu; Yingfeng Chen; Tangjie Lv; Changjie Fan (CoRR, 2023)

Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. - Stephanie Milani; Anssi Kanervisto; Karolis Ramanauskas; Sander Schulhoff; Brandon Houghton; Sharada P. Mohanty; Byron Galbraith; Ke Chen; Yan Song; Tianze Zhou; Bingquan Yu; He Liu; et al. (CoRR, 2023)

Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning. - Jinyi Liu 002; Yi Ma 005; Jianye Hao; Yujing Hu; Yan Zheng 002; Tangjie Lv; Changjie Fan (CoRR, 2023)

Rethink Baseline of Integrated Gradients from the Perspective of Shapley Value. - Shuyang Liu; Zixuan Chen; Ge Shi; Ji Wang; Changjie Fan; Yu Xiong; Runze Wu 001; Yujing Hu; Ze Ji; Yang Gao 001 (CoRR, 2023)

ASN: action semantics network for multiagent reinforcement learning. - Tianpei Yang; Weixun Wang; Jianye Hao; Matthew E. Taylor; Yong Liu 007; Xiaotian Hao; Yujing Hu; Yingfeng Chen; Changjie Fan; Chunxu Ren; Ye Huang; Jiangcheng Zhu; et al. (Auton. Agents Multi Agent Syst., 2023)

Deep learning applications in games: a survey from a data perspective. - Zhipeng Hu; Yu Ding 001; Runze Wu 001; Lincheng Li; Rongsheng Zhang; Yujing Hu; Feng Qiu; Zhimeng Zhang; Kai Wang 064; Shiwei Zhao; Yongqiang Zhang 003; Ji Jiang; et al. (Appl. Intell., 2023)

Establishment and validation of an AI-aid method in the diagnosis of myocardial perfusion imaging. - Ruyi Zhang 003; Peng Wang 029; Yanzhu Bian; Yan Fan; Jianming Li; Xuehui Liu; Jie Shen; Yujing Hu; Xianghe Liao; He Wang; Chengyu Song; Wangxiao Li; et al. (BMC Medical Imaging, 2023)

Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning. - Chao Li; Yupeng Zhang; Jianqi Wang; Yujing Hu; Shaokang Dong; Wenbin Li; Tangjie Lv; Changjie Fan; Yang Gao 001 (AAAI, 2024)

A Trajectory Perspective on the Role of Data Sampling Techniques in Offline Reinforcement Learning. - Jinyi Liu 002; Yi Ma 005; Jianye Hao; Yujing Hu; Yan Zheng 002; Tangjie Lv; Changjie Fan (AAMAS, 2024)

vMFER: von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement of Actor-Critic Algorithms. - Yiwen Zhu; Jinyi Liu 002; Wenya Wei; Qianyi Fu; Yujing Hu; Zhou Fang; Bo An 001; Jianye Hao; Tangjie Lv; Changjie Fan (AAMAS, 2024)

Norface: Improving Facial Expression Analysis by Identity Normalization. - Hanwei Liu; Rudong An; Zhimeng Zhang; Bowen Ma; Wei Zhang 219; Yan Song; Yujing Hu; Wei Chen; Yu Ding 001 (ECCV (55), 2024)

AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model. - Zibin Dong; Yifu Yuan; Jianye Hao; Fei Ni 001; Yao Mu 001; Yan Zheng 002; Yujing Hu; Tangjie Lv; Changjie Fan; Zhipeng Hu (ICLR, 2024)

Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets. - Yihuan Mao; Chengjie Wu; Xi Chen; Hao Hu 006; Ji Jiang; Tianze Zhou; Tangjie Lv; Changjie Fan; Zhipeng Hu; Yi Wu 013; Yujing Hu; Chongjie Zhang (ICLR, 2024)

Bayesian Design Principles for Offline-to-Online Reinforcement Learning. - Hao Hu 006; Yiqin Yang; Jianing Ye; Chengjie Wu; Ziqing Mai; Yujing Hu; Tangjie Lv; Changjie Fan; Qianchuan Zhao; Chongjie Zhang (ICML, 2024)

STAR: Spatio-Temporal State Compression for Multi-Agent Tasks with Rich Observations. - Chao Li; Yujing Hu; Shangdong Yang; Tangjie Lv; Changjie Fan; Wenbin Li; Chongjie Zhang; Yang Gao 001 (IJCAI, 2024)

vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement. - Yiwen Zhu; Jinyi Liu 002; Wenya Wei; Qianyi Fu; Yujing Hu; Zhou Fang; Bo An 001; Jianye Hao; Tangjie Lv; Changjie Fan (IJCAI, 2024)

XRL-Bench: A Benchmark for Evaluating and Comparing Explainable Reinforcement Learning Techniques. - Yu Xiong; Zhipeng Hu; Ye Huang; Runze Wu 001; Kai Guan; Xingchen Fang; Ji Jiang; Tianze Zhou; Yujing Hu; Haoyu Liu; Tangjie Lyu; Changjie Fan (KDD, 2024)

Unlock the Intermittent Control Ability of Model Free Reinforcement Learning. - Jiashun Liu; Jianye Hao; Xiaotian Hao; Yi Ma 005; Yan Zheng 002; Yujing Hu; Tangjie Lv (NeurIPS, 2024)

Hybrid CtrlFormer: Learning Adaptive Search Space Partition for Hybrid Action Control via Transformer-based Monte Carlo Tree Search. - Jiashun Liu; Xiaotian Hao; Jianye Hao; Yan Zheng 002; Yujing Hu; Changjie Fan; Tangjie Lv; Zhipeng Hu (UAI, 2024)

The MMO Economist: AI Empowers Robust, Healthy, and Sustainable P2W MMO Economies. - Shiwei Zhao; Xi Yuan; Runze Wu 001; Zhipeng Hu; Haoyu Liu; Kai Wang 064; Yujing Hu; Tangjie Lv; Changjie Fan; Xin T. Tong; Jiangze Han; Yan Zheng 002; et al. (WWW (Companion Volume), 2024)

Norface: Improving Facial Expression Analysis by Identity Normalization. - Hanwei Liu; Rudong An; Zhimeng Zhang; Bowen Ma; Wei Zhang 219; Yan Song; Yujing Hu; Wei Chen 001; Yu Ding 001 (CoRR, 2024)

Promoting human-AI interaction makes a better adoption of deep reinforcement learning: a real-world application in game industry. - Zhipeng Hu; Haoyu Liu; Yu Xiong; Lizi Wang; Runze Wu 001; Kai Guan; Yujing Hu; Tangjie Lyu; Changjie Fan (Multim. Tools Appl., 2024)

Learning Multi-Intersection Traffic Signal Control via Coevolutionary Multi-Agent Reinforcement Learning. - Wubing Chen; Shangdong Yang; Wenbin Li 006; Yujing Hu; Xiao Liu; Yang Gao 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Reinforcement Learning from Imperfect Corrective Actions and Proxy Rewards. - Zhaohui Jiang; Xuening Feng; Paul Weng; Yifei Zhu; Yan Song; Tianze Zhou; Yujing Hu; Tangjie Lv; Changjie Fan (ICLR, 2025)

Coordinating Multi-Agent Reinforcement Learning via Dual Collaborative Constraints. - Chao Li; Shaokang Dong; Shangdong Yang; Yujing Hu; Wenbin Li 006; Yang Gao 001 (Neural Networks, 2025)

Multi-Task Multi-Agent Reinforcement Learning With Interaction and Task Representations. - Chao Li; Shaokang Dong; Shangdong Yang; Yujing Hu; Tianyu Ding; Wenbin Li 006; Yang Gao 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)