Yingfeng Chen

8 papers in the IJCAI proceedings

IJCAI 2022

A Closed-Loop Perception, Decision-Making and Reasoning Mechanism for Human-Like Navigation

with Wenqi Zhang, Kai Zhao, Peng Li, Xiao Zhu, Yongliang Shen, Yanna Ma, Weiming Lu

doi:10.24963/ijcai.2022/654

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IJCAI 2021

Reward-Constrained Behavior Cloning

with Zhaorong Wang, Meng Wang, Jingqi Zhang, Chongjie Zhang

doi:10.24963/ijcai.2021/436

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IJCAI 2020

Efficient Deep Reinforcement Learning via Adaptive Policy Transfer

with Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Changjie Fan, Weixun Wang, Wulong Liu, Zhaodong Wang, Jiajie Peng

doi:10.24963/ijcai.2020/428

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Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning

with Ruimin Shen, Yan Zheng, Jianye Hao, Zhaopeng Meng, Changjie Fan, Yang Liu

doi:10.24963/ijcai.2020/466

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IJCAI 2019

Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces

with Haotian Fu, Hongyao Tang, Jianye Hao, Zihan Lei, Changjie Fan

doi:10.24963/ijcai.2019/323

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Explicitly Coordinated Policy Iteration

with Yujing Hu, Changjie Fan, Jianye Hao

doi:10.24963/ijcai.2019/51

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Reinforcement Learning Experience Reuse with Policy Residual Representation

with WenJi Zhou, Yang Yu, Kai Guan, Tangjie Lv, Changjie Fan, Zhi-Hua Zhou

doi:10.24963/ijcai.2019/618

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Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns

with Yong Liu, Yujing Hu, Yang Gao, Changjie Fan

doi:10.24963/ijcai.2019/65

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