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2020 – today
- 2024
[j6]Zhipeng Hu, Haoyu Liu
, Yu Xiong, Lizi Wang, Runze Wu, Kai Guan, Yujing Hu, Tangjie Lyu, Changjie Fan:
Promoting human-AI interaction makes a better adoption of deep reinforcement learning: a real-world application in game industry. Multim. Tools Appl. 83(2): 6161-6182 (2024)- [c37]Chao Li, Yupeng Zhang, Jianqi Wang, Yujing Hu, Shaokang Dong, Wenbin Li, Tangjie Lv, Changjie Fan, Yang Gao:
Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning. AAAI 2024: 17453-17460 - [c36]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 - [c35]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 - [c34]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 - [c33]Yihuan Mao, Chengjie Wu, Xi Chen, Hao Hu, Ji Jiang, Tianze Zhou, Tangjie Lv, Changjie Fan, Zhipeng Hu, Yi Wu, Yujing Hu, Chongjie Zhang:
Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets. ICLR 2024 - [c32]Hao Hu, Yiqin Yang, Jianing Ye, Chengjie Wu, Ziqing Mai, Yujing Hu, Tangjie Lv, Changjie Fan, Qianchuan Zhao, Chongjie Zhang:
Bayesian Design Principles for Offline-to-Online Reinforcement Learning. ICML 2024 - [c31]Chao Li, Yujing Hu, Shangdong Yang, Tangjie Lv, Changjie Fan, Wenbin Li, Chongjie Zhang, Yang Gao:
STAR: Spatio-Temporal State Compression for Multi-Agent Tasks with Rich Observations. IJCAI 2024: 120-128 - [c30]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 - [c29]Yu Xiong, Zhipeng Hu, Ye Huang, Runze Wu, Kai Guan, Xingchen Fang, Ji Jiang, Tianze Zhou, Yujing Hu, Haoyu Liu, Tangjie Lyu, Changjie Fan:
XRL-Bench: A Benchmark for Evaluating and Comparing Explainable Reinforcement Learning Techniques. KDD 2024: 6073-6082 - [c28]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 - [i26]Yu Xiong, Zhipeng Hu, Ye Huang, Runze Wu, Kai Guan, Xingchen Fang, Ji Jiang, Tianze Zhou, Yujing Hu, Haoyu Liu, Tangjie Lyu, Changjie Fan:
XRL-Bench: A Benchmark for Evaluating and Comparing Explainable Reinforcement Learning Techniques. CoRR abs/2402.12685 (2024) - [i25]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) - [i24]Hao Hu, Yiqin Yang, Jianing Ye, Chengjie Wu, Ziqing Mai, Yujing Hu, Tangjie Lv, Changjie Fan, Qianchuan Zhao, Chongjie Zhang:
Bayesian Design Principles for Offline-to-Online Reinforcement Learning. CoRR abs/2405.20984 (2024) - [i23]Hanwei Liu, Rudong An, Zhimeng Zhang, Bowen Ma, Wei Zhang, Yan Song, Yujing Hu, Wei Chen, Yu Ding:
Norface: Improving Facial Expression Analysis by Identity Normalization. CoRR abs/2407.15617 (2024) - 2023
- [j5]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) - [j4]Zhipeng Hu, Yu Ding, Runze Wu, Lincheng Li, Rongsheng Zhang, Yujing Hu, Feng Qiu, Zhimeng Zhang, Kai Wang, Shiwei Zhao, Yongqiang Zhang, Ji Jiang, Yadong Xi, Jiashu Pu, Wei Zhang, Suzhen Wang, Ke Chen, Tianze Zhou, Jiarui Chen, Yan Song, Tangjie Lv, Changjie Fan:
Deep learning applications in games: a survey from a data perspective. Appl. Intell. 53(24): 31129-31164 (2023) - [j3]Ruyi Zhang, Peng Wang, Yanzhu Bian, Yan Fan, Jianming Li, Xuehui Liu, Jie Shen, Yujing Hu, Xianghe Liao, He Wang, Chengyu Song, Wangxiao Li, Xiaojie Wang, Momo Sun, Jianping Zhang, Miao Wang, Shen Wang, Yiming Shen, Xuemei Zhang, Qiang Jia, Jian Tan, Ning Li, Sen Wang, Lingyun Xu, Weiming Wu, Wei Zhang, Zhaowei Meng:
Establishment and validation of an AI-aid method in the diagnosis of myocardial perfusion imaging. BMC Medical Imaging 23(1): 84 (2023) - [c27]Shanqi Liu, Yujing Hu, Runze Wu, Dong Xing, Yu Xiong, Changjie Fan, Kun Kuang, Yong Liu:
Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning. AAMAS 2023: 31-39 - [c26]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 - [c25]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 - [c24]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 - [c23]Xiongfei Wu, Jiaming Ye, Ke Chen, Xiaofei Xie, Yujing Hu, Ruochen Huang, Lei Ma, Jianjun Zhao:
Widget Detection-based Testing for Industrial Mobile Games. ICSE-SEIP 2023: 173-184 - [c22]Chengjie Wu, Pingzhong Tang, Jun Yang, Yujing Hu, Tangjie Lv, Changjie Fan, Chongjie Zhang:
Conservative Offline Policy Adaptation in Multi-Agent Games. NeurIPS 2023 - [i22]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) - [i21]Rundong Wang, Longtao Zheng, Wei Qiu, Bowei He, Bo An, Zinovi Rabinovich, Yujing Hu, Yingfeng Chen, Tangjie Lv, Changjie Fan:
Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning. CoRR abs/2302.03429 (2023) - [i20]Shanqi Liu, Yujing Hu, Runze Wu, Dong Xing, Yu Xiong, Changjie Fan, Kun Kuang, Yong Liu:
Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2302.06872 (2023) - [i19]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, Kai Guan, Yujing Hu, Tangjie Lv, Federico Malato, Florian Leopold, Amogh Raut, Ville Hautamäki, Andrew Melnik, Shu Ishida, João F. Henriques, Robert Klassert, Walter Laurito, Ellen R. Novoseller, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins, Josh Miller, Rohin Shah:
Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. CoRR abs/2303.13512 (2023) - [i18]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) - [i17]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) - 2022
- [c21]Chao Feng, Weike Liu, Xianhui Cao, Zhiwei Jia, Yujing Hu:
Discharge Test of Unmanned Aerial Vehicles and Live High-voltage Wires. ICCIR 2022: 680-684 - [c20]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 - [c19]Chao Li, Yujing Hu, Pinzhuo Tian, Shaokang Dong, Yang Gao:
DDMA: Discrepancy-Driven Multi-agent Reinforcement Learning. PRICAI (3) 2022: 91-105 - [i16]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) - [i15]Yixiang Wang, Yujing Hu, Feng Wu, Yingfeng Chen:
Automatic Reward Design via Learning Motivation-Consistent Intrinsic Rewards. CoRR abs/2207.14722 (2022) - [i14]Jiafeng Ma, Guangda Chen, Yingfeng Chen, Yujing Hu, Changjie Fan, Jianming Zhang:
Distributed Multi-Robot Obstacle Avoidance via Logarithmic Map-based Deep Reinforcement Learning. CoRR abs/2209.06622 (2022) - [i13]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) - 2021
- [c18]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, Kai Guan, Yujing Hu, Tangjie Lv, Federico Malato, Florian Leopold, Amogh Raut, Ville Hautamäki, Andrew Melnik, Shu Ishida, João F. Henriques, Robert Klassert, Walter Laurito, Lucas Cazzonelli, Cedric Kulbach, Nicholas Popovic, Marvin Schweizer, Ellen R. Novoseller, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins, Josh Miller, Rohin Shah:
Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. NeurIPS (Competition and Demos) 2021: 171-188 - [c17]Xiangyu Liu, Hangtian Jia, Ying Wen, Yujing Hu, Yingfeng Chen, Changjie Fan, Zhipeng Hu, Yaodong Yang:
Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games. NeurIPS 2021: 941-952 - [c16]Lulu Zheng, Jiarui Chen, Jianhao Wang, Jiamin He, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao, Chongjie Zhang:
Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration. NeurIPS 2021: 3757-3769 - [c15]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 - [i12]Xiangyu Liu, Hangtian Jia, Ying Wen, Yaodong Yang, Yujing Hu, Yingfeng Chen, Changjie Fan, Zhipeng Hu:
Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games. CoRR abs/2106.04958 (2021) - [i11]Lulu Zheng, Jiarui Chen, Jianhao Wang, Jiamin He, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao, Chongjie Zhang:
Episodic Multi-agent Reinforcement Learning with Curiosity-Driven Exploration. CoRR abs/2111.11032 (2021) - 2020
- [c14]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 - [c13]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 - [c12]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 - [c11]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 - [c10]Yan Song, Yingfeng Chen, Yujing Hu, Changjie Fan:
Exploring Unknown States with Action Balance. CoG 2020: 184-191 - [c9]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 - [c8]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 - [c7]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 - [c6]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 - [i10]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) - [i9]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) - [i8]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) - [i7]Yan Song, Yingfeng Chen, Yujing Hu, Changjie Fan:
Exploring Unknown States with Action Balance. CoRR abs/2003.04518 (2020) - [i6]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) - [i5]Hangtian Jia, Yujing Hu, Yingfeng Chen, Chunxu Ren, Tangjie Lv, Changjie Fan, Chongjie Zhang:
Fever Basketball: A Complex, Flexible, and Asynchronized Sports Game Environment for Multi-agent Reinforcement Learning. CoRR abs/2012.03204 (2020)
2010 – 2019
- 2019
- [c5]Yunkai Zhuang, Xingguo Chen, Yang Gao, Yujing Hu:
Accelerating Nash Q-Learning with Graphical Game Representation and Equilibrium Solving. ICTAI 2019: 939-946 - [c4]Yujing Hu, Yingfeng Chen, Changjie Fan, Jianye Hao:
Explicitly Coordinated Policy Iteration. IJCAI 2019: 357-363 - [c3]Yong Liu, Yujing Hu, Yang Gao, Yingfeng Chen, Changjie Fan:
Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns. IJCAI 2019: 457-463 - [i4]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) - [i3]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) - [i2]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) - 2018
- [c2]Yujing Hu, Qing Da, Anxiang Zeng, Yang Yu, Yinghui Xu:
Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application. KDD 2018: 368-377 - [i1]Yujing Hu, Qing Da, Anxiang Zeng, Yang Yu, Yinghui Xu:
Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application. CoRR abs/1803.00710 (2018) - 2015
- [j2]Yujing Hu, Yang Gao, Bo An:
Multiagent Reinforcement Learning With Unshared Value Functions. IEEE Trans. Cybern. 45(4): 647-662 (2015) - [j1]Yujing Hu, Yang Gao, Bo An:
Accelerating Multiagent Reinforcement Learning by Equilibrium Transfer. IEEE Trans. Cybern. 45(7): 1289-1302 (2015) - [c1]Yujing Hu, Yang Gao, Bo An:
Learning in Multi-agent Systems with Sparse Interactions by Knowledge Transfer and Game Abstraction. AAMAS 2015: 753-761
Coauthor Index
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