Yujing Hu - RankMe

79 papers A* 25A 8B 1C 1Journal 38Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	OpenGuanDan: A Large-Scale Imperfect Information Game Benchmark. CoRR Chao Li, Shangdong Yang, Chiheng Zhan, Zhenxing Ge, Yujing Hu, Bingkun Bao, Xingguo Chen, Yang Gao
2025	J	`jnl`	Coordinating Multi-Agent Reinforcement Learning via Dual Collaborative Constraints. Neural Networks Chao Li, Shaokang Dong, Shangdong Yang, Yujing Hu, Wenbin Li, Yang Gao
2025	J	`jnl`	Multi-Task Multi-Agent Reinforcement Learning With Interaction and Task Representations. IEEE Trans. Neural Networks Learn. Syst. Chao Li, Shaokang Dong, Shangdong Yang, Yujing Hu, Tianyu Ding, Wenbin Li, Yang Gao
2025	A*	`conf`	Reinforcement Learning from Imperfect Corrective Actions and Proxy Rewards. ICLR Zhaohui Jiang, Xuening Feng, Paul Weng, Yifei Zhu, Yan Song, Tianze Zhou, Yujing Hu, Tangjie Lv, Changjie Fan
2024	A	`conf`	A Trajectory Perspective on the Role of Data Sampling Techniques in Offline Reinforcement Learning. AAMAS Jinyi Liu, Yi Ma, Jianye Hao, Yujing Hu, Yan Zheng, Tangjie Lv, Changjie Fan
2024	A*	`conf`	AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model. ICLR Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Tangjie Lv, Changjie Fan, Zhipeng Hu
2024	A*	`conf`	Bayesian Design Principles for Offline-to-Online Reinforcement Learning. ICML Hao Hu, Yiqin Yang, Jianing Ye, Chengjie Wu, Ziqing Mai, Yujing Hu, Tangjie Lv, Changjie Fan, Qianchuan Zhao, Chongjie Zhang
2024	J	`jnl`	Bayesian Design Principles for Offline-to-Online Reinforcement Learning. CoRR Hao Hu, Yiqin Yang, Jianing Ye, Chengjie Wu, Ziqing Mai, Yujing Hu, Tangjie Lv, Changjie Fan, Qianchuan Zhao, Chongjie Zhang
2024	A	`conf`	Hybrid CtrlFormer: Learning Adaptive Search Space Partition for Hybrid Action Control via Transformer-based Monte Carlo Tree Search. UAI Jiashun Liu, Xiaotian Hao, Jianye Hao, Yan Zheng, Yujing Hu, Changjie Fan, Tangjie Lv, Zhipeng Hu
2024	J	`jnl`	Learning Multi-Intersection Traffic Signal Control via Coevolutionary Multi-Agent Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. Wubing Chen, Shangdong Yang, Wenbin Li, Yujing Hu, Xiao Liu, Yang Gao
2024	—	`conf`	Norface: Improving Facial Expression Analysis by Identity Normalization. ECCV (55) Hanwei Liu, Rudong An, Zhimeng Zhang, Bowen Ma, Wei Zhang, Yan Song, Yujing Hu, Wei Chen, Yu Ding
2024	J	`jnl`	Norface: Improving Facial Expression Analysis by Identity Normalization. CoRR Hanwei Liu, Rudong An, Zhimeng Zhang, Bowen Ma, Wei Zhang, Yan Song, Yujing Hu, Wei Chen, Yu Ding
2024	A*	`conf`	Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning. AAAI Chao Li, Yupeng Zhang, Jianqi Wang, Yujing Hu, Shaokang Dong, Wenbin Li, Tangjie Lv, Changjie Fan, Yang Gao
2024	J	`jnl`	Promoting human-AI interaction makes a better adoption of deep reinforcement learning: a real-world application in game industry. Multim. Tools Appl. Zhipeng Hu, Haoyu Liu, Yu Xiong, Lizi Wang, Runze Wu, Kai Guan, Yujing Hu, Tangjie Lyu, Changjie Fan
2024	J	`jnl`	Reinforcement Learning From Imperfect Corrective Actions And Proxy Rewards. CoRR Zhaohui Jiang, Xuening Feng, Paul Weng, Yifei Zhu, Yan Song, Tianze Zhou, Yujing Hu, Tangjie Lv, Changjie Fan
2024	A*	`conf`	STAR: Spatio-Temporal State Compression for Multi-Agent Tasks with Rich Observations. IJCAI Chao Li, Yujing Hu, Shangdong Yang, Tangjie Lv, Changjie Fan, Wenbin Li, Chongjie Zhang, Yang Gao
2024	A*	`conf`	Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets. ICLR Yihuan Mao, Chengjie Wu, Xi Chen, Hao Hu, Ji Jiang, Tianze Zhou, Tangjie Lv, Changjie Fan, Zhipeng Hu, Yi Wu, Yujing Hu, Chongjie Zhang
2024	—	`conf`	The MMO Economist: AI Empowers Robust, Healthy, and Sustainable P2W MMO Economies. WWW (Companion Volume) 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
2024	A*	`conf`	Unlock the Intermittent Control Ability of Model Free Reinforcement Learning. NeurIPS Jiashun Liu, Jianye Hao, Xiaotian Hao, Yi Ma, Yan Zheng, Yujing Hu, Tangjie Lv
2024	A*	`conf`	XRL-Bench: A Benchmark for Evaluating and Comparing Explainable Reinforcement Learning Techniques. KDD Yu Xiong, Zhipeng Hu, Ye Huang, Runze Wu, Kai Guan, Xingchen Fang, Ji Jiang, Tianze Zhou, Yujing Hu, Haoyu Liu, Tangjie Lyu, Changjie Fan
2024	J	`jnl`	XRL-Bench: A Benchmark for Evaluating and Comparing Explainable Reinforcement Learning Techniques. CoRR Yu Xiong, Zhipeng Hu, Ye Huang, Runze Wu, Kai Guan, Xingchen Fang, Ji Jiang, Tianze Zhou, Yujing Hu, Haoyu Liu, Tangjie Lyu, Changjie Fan
2024	A*	`conf`	vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement. IJCAI Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan
2024	J	`jnl`	vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement. CoRR Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan
2024	A	`conf`	vMFER: von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement of Actor-Critic Algorithms. AAMAS Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan
2023	J	`jnl`	ASN: action semantics network for multiagent reinforcement learning. Auton. Agents Multi Agent Syst. 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
2023	A	`conf`	Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning. AAMAS Shanqi Liu, Yujing Hu, Runze Wu, Dong Xing, Yu Xiong, Changjie Fan, Kun Kuang, Yong Liu
2023	J	`jnl`	Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning. CoRR Shanqi Liu, Yujing Hu, Runze Wu, Dong Xing, Yu Xiong, Changjie Fan, Kun Kuang, Yong Liu
2023	J	`jnl`	AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model. CoRR Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Tangjie Lv, Changjie Fan, Zhipeng Hu
2023	A*	`conf`	Conservative Offline Policy Adaptation in Multi-Agent Games. NeurIPS Chengjie Wu, Pingzhong Tang, Jun Yang, Yujing Hu, Tangjie Lv, Changjie Fan, Chongjie Zhang
2023	J	`jnl`	Deep learning applications in games: a survey from a data perspective. Appl. Intell. 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
2023	A*	`conf`	EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model. ICLR Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Jinyi Liu, Yingfeng Chen, Changjie Fan
2023	J	`jnl`	Establishment and validation of an AI-aid method in the diagnosis of myocardial perfusion imaging. BMC Medical Imaging 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
2023	A*	`conf`	Neural Episodic Control with State Abstraction. ICLR Zhuo Li, Derui Zhu, Yujing Hu, Xiaofei Xie, Lei Ma, Yan Zheng, Yan Song, Yingfeng Chen, Jianjun Zhao
2023	J	`jnl`	Neural Episodic Control with State Abstraction. CoRR Zhuo Li, Derui Zhu, Yujing Hu, Xiaofei Xie, Lei Ma, Yan Zheng, Yan Song, Yingfeng Chen, Jianjun Zhao
2023	A	`conf`	Off-Beat Multi-Agent Reinforcement Learning. AAMAS Wei Qiu, Weixun Wang, Rundong Wang, Bo An, Yujing Hu, Svetlana Obraztsova, Zinovi Rabinovich, Jianye Hao, Yingfeng Chen, Changjie Fan
2023	J	`jnl`	Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning. CoRR Jinyi Liu, Yi Ma, Jianye Hao, Yujing Hu, Yan Zheng, Tangjie Lv, Changjie Fan
2023	J	`jnl`	Rethink Baseline of Integrated Gradients from the Perspective of Shapley Value. CoRR Shuyang Liu, Zixuan Chen, Ge Shi, Ji Wang, Changjie Fan, Yu Xiong, Runze Wu, Yujing Hu, Ze Ji, Yang Gao
2023	J	`jnl`	Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning. CoRR Rundong Wang, Longtao Zheng, Wei Qiu, Bowei He, Bo An, Zinovi Rabinovich, Yujing Hu, Yingfeng Chen, Tangjie Lv, Changjie Fan
2023	J	`jnl`	Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. CoRR 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
2023	—	`conf`	Widget Detection-based Testing for Industrial Mobile Games. ICSE-SEIP Xiongfei Wu, Jiaming Ye, Ke Chen, Xiaofei Xie, Yujing Hu, Ruochen Huang, Lei Ma, Jianjun Zhao
2022	J	`jnl`	Automatic Reward Design via Learning Motivation-Consistent Intrinsic Rewards. CoRR Yixiang Wang, Yujing Hu, Feng Wu, Yingfeng Chen
2022	—	`conf`	DDMA: Discrepancy-Driven Multi-agent Reinforcement Learning. PRICAI (3) Chao Li, Yujing Hu, Pinzhuo Tian, Shaokang Dong, Yang Gao
2022	—	`conf`	Discharge Test of Unmanned Aerial Vehicles and Live High-voltage Wires. ICCIR Chao Feng, Weike Liu, Xianhui Cao, Zhiwei Jia, Yujing Hu
2022	J	`jnl`	Distributed Multi-Robot Obstacle Avoidance via Logarithmic Map-based Deep Reinforcement Learning. CoRR Jiafeng Ma, Guangda Chen, Yingfeng Chen, Yujing Hu, Changjie Fan, Jianming Zhang
2022	J	`jnl`	EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model. CoRR Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Jinyi Liu, Yingfeng Chen, Changjie Fan
2022	A*	`conf`	Individual Reward Assisted Multi-Agent Reinforcement Learning. ICML Li Wang, Yupeng Zhang, Yujing Hu, Weixun Wang, Chongjie Zhang, Yang Gao, Jianye Hao, Tangjie Lv, Changjie Fan
2022	J	`jnl`	Off-Beat Multi-Agent Reinforcement Learning. CoRR Wei Qiu, Weixun Wang, Rundong Wang, Bo An, Yujing Hu, Svetlana Obraztsova, Zinovi Rabinovich, Jianye Hao, Yingfeng Chen, Changjie Fan
2021	A*	`conf`	An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning. NeurIPS Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Hangyu Mao, Dong Li, Wulong Liu, Yingfeng Chen, Yujing Hu, Changjie Fan, Chengwei Zhang
2021	J	`jnl`	Episodic Multi-agent Reinforcement Learning with Curiosity-Driven Exploration. CoRR Lulu Zheng, Jiarui Chen, Jianhao Wang, Jiamin He, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao, Chongjie Zhang
2021	A*	`conf`	Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration. NeurIPS Lulu Zheng, Jiarui Chen, Jianhao Wang, Jiamin He, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao, Chongjie Zhang
2021	—	`conf`	Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. NeurIPS (Competition and Demos) 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
2021	A*	`conf`	Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games. NeurIPS Xiangyu Liu, Hangtian Jia, Ying Wen, Yujing Hu, Yingfeng Chen, Changjie Fan, Zhipeng Hu, Yaodong Yang
2021	J	`jnl`	Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games. CoRR Xiangyu Liu, Hangtian Jia, Ying Wen, Yaodong Yang, Yujing Hu, Yingfeng Chen, Changjie Fan, Zhipeng Hu
2020	A*	`conf`	Action Semantics Network: Considering the Effects of Actions in Multiagent Systems. ICLR Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
2020	A	`conf`	Efficient Deep Reinforcement Learning through Policy Transfer. AAMAS Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Zhaodong Wang, Jiajie Peng
2020	J	`jnl`	Efficient Deep Reinforcement Learning through Policy Transfer. CoRR Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Weixun Wang, Yujing Hu, Yingfeng Chen, Changjie Fan, Zhaodong Wang, Jiajie Peng
2020	A*	`conf`	Efficient Deep Reinforcement Learning via Adaptive Policy Transfer. IJCAI Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Wulong Liu, Zhaodong Wang, Jiajie Peng
2020	C	`conf`	Exploring Unknown States with Action Balance. CoG Yan Song, Yingfeng Chen, Yujing Hu, Changjie Fan
2020	J	`jnl`	Exploring Unknown States with Action Balance. CoRR Yan Song, Yingfeng Chen, Yujing Hu, Changjie Fan
2020	J	`jnl`	Fever Basketball: A Complex, Flexible, and Asynchronized Sports Game Environment for Multi-agent Reinforcement Learning. CoRR Hangtian Jia, Yujing Hu, Yingfeng Chen, Chunxu Ren, Tangjie Lv, Changjie Fan, Chongjie Zhang
2020	A*	`conf`	From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning. AAAI Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
2020	J	`jnl`	Learning When to Transfer among Agents: An Efficient Multiagent Transfer Learning Framework. CoRR Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Wulong Liu, Yujing Hu, Yingfeng Chen
2020	A*	`conf`	Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping. NeurIPS Yujing Hu, Weixun Wang, Hangtian Jia, Yixiang Wang, Yingfeng Chen, Jianye Hao, Feng Wu, Changjie Fan
2020	J	`jnl`	Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping. CoRR Yujing Hu, Weixun Wang, Hangtian Jia, Yixiang Wang, Yingfeng Chen, Jianye Hao, Feng Wu, Changjie Fan
2020	A	`conf`	Mastering Basketball With Deep Reinforcement Learning: An Integrated Curriculum Training Approach. AAMAS Hangtian Jia, Chunxu Ren, Yujing Hu, Yingfeng Chen, Tangjie Lv, Changjie Fan, Hongyao Tang, Jianye Hao
2020	A*	`conf`	Multi-Agent Game Abstraction via Graph Attention Neural Network. AAAI Yong Liu, Weixun Wang, Yujing Hu, Jianye Hao, Xingguo Chen, Yang Gao
2020	A*	`conf`	Q-value Path Decomposition for Deep Multiagent Reinforcement Learning. ICML Yaodong Yang, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, Zhongyu Wei
2020	J	`jnl`	Q-value Path Decomposition for Deep Multiagent Reinforcement Learning. CoRR Yaodong Yang, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, Zhongyu Wei
2019	B	`conf`	Accelerating Nash Q-Learning with Graphical Game Representation and Equilibrium Solving. ICTAI Yunkai Zhuang, Xingguo Chen, Yang Gao, Yujing Hu
2019	J	`jnl`	Action Semantics Network: Considering the Effects of Actions in Multiagent Systems. CoRR Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
2019	A*	`conf`	Explicitly Coordinated Policy Iteration. IJCAI Yujing Hu, Yingfeng Chen, Changjie Fan, Jianye Hao
2019	J	`jnl`	From Few to More: Large-scale Dynamic Multiagent Curriculum Learning. CoRR Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
2019	J	`jnl`	Multi-Agent Game Abstraction via Graph Attention Neural Network. CoRR Yong Liu, Weixun Wang, Yujing Hu, Jianye Hao, Xingguo Chen, Yang Gao
2019	A*	`conf`	Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns. IJCAI Yong Liu, Yujing Hu, Yang Gao, Yingfeng Chen, Changjie Fan
2018	A*	`conf`	Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application. KDD Yujing Hu, Qing Da, Anxiang Zeng, Yang Yu, Yinghui Xu
2018	J	`jnl`	Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application. CoRR Yujing Hu, Qing Da, Anxiang Zeng, Yang Yu, Yinghui Xu
2015	J	`jnl`	Accelerating Multiagent Reinforcement Learning by Equilibrium Transfer. IEEE Trans. Cybern. Yujing Hu, Yang Gao, Bo An
2015	A	`conf`	Learning in Multi-agent Systems with Sparse Interactions by Knowledge Transfer and Game Abstraction. AAMAS Yujing Hu, Yang Gao, Bo An
2015	J	`jnl`	Multiagent Reinforcement Learning With Unshared Value Functions. IEEE Trans. Cybern. Yujing Hu, Yang Gao, Bo An