Chen, Yingfeng

20 publications

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

ICLR 2023 Neural Episodic Control with State Abstraction Zhuo Li, Derui Zhu, Yujing Hu, Xiaofei Xie, Lei Ma, Yan Zheng, Yan Song, Yingfeng Chen, Jianjun Zhao

IJCAI 2022 A Closed-Loop Perception, Decision-Making and Reasoning Mechanism for Human-like Navigation Wenqi Zhang, Kai Zhao, Peng Li, Xiao Zhu, Yongliang Shen, Yanna Ma, Yingfeng Chen, Weiming Lu

NeurIPSW 2022 EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-Choice Dynamics Model Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Jinyi Liu, Yingfeng Chen, Changjie Fan

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

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, Chongjie Zhang

ICML 2021 MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration Jin Zhang, Jianhao Wang, Hao Hu, Tong Chen, Yingfeng Chen, Changjie Fan, Chongjie Zhang

IJCAI 2021 Reward-Constrained Behavior Cloning Zhaorong Wang, Meng Wang, Jingqi Zhang, Yingfeng Chen, Chongjie Zhang

NeurIPS 2021 Towards Unifying Behavioral and Response Diversity for Open-Ended Learning in Zero-Sum Games Xiangyu Liu, Hangtian Jia, Ying Wen, Yujing Hu, Yingfeng Chen, Changjie Fan, Zhipeng Hu, Yaodong Yang

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

IJCAI 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

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

IJCAI 2020 Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning Ruimin Shen, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yingfeng Chen, Changjie Fan, Yang Liu

AAAI 2020 Generative Adversarial Imitation Learning from Failed Experiences (Student Abstract) Jiacheng Zhu, Jiahao Lin, Meng Wang, Yingfeng Chen, Changjie Fan, Chong Jiang, Zongzhang Zhang

NeurIPS 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, Changjie Fan

ICML 2020 Q-Value Path Decomposition for Deep Multiagent Reinforcement Learning Yaodong Yang, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, Zhongyu Wei

IJCAI 2019 Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces Haotian Fu, Hongyao Tang, Jianye Hao, Zihan Lei, Yingfeng Chen, Changjie Fan

IJCAI 2019 Explicitly Coordinated Policy Iteration Yujing Hu, Yingfeng Chen, Changjie Fan, Jianye Hao

IJCAI 2019 Reinforcement Learning Experience Reuse with Policy Residual Representation Wen-Ji Zhou, Yang Yu, Yingfeng Chen, Kai Guan, Tangjie Lv, Changjie Fan, Zhi-Hua Zhou

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