Zang, Yifan

10 publications

NeurIPS 2025 Bi-Level Knowledge Transfer for Multi-Task Multi-Agent Reinforcement Learning Junkai Zhang, Jinmin He, Yifan Zhang, Yifan Zang, Ning Xu, Jian Cheng

ICML 2025 Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

NeurIPS 2024 Efficient Multi-Task Reinforcement Learning with Cross-Task Policy Guidance Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

AAAI 2024 Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning Junkai Zhang, Yifan Zhang, Xi Sheryl Zhang, Yifan Zang, Jian Cheng

AAAI 2024 Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

NeurIPS 2024 Opponent Modeling with In-Context Search Yuheng Jing, Bingyun Liu, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

ICLR 2024 Towards Offline Opponent Modeling with In-Context Learning Yuheng Jing, Kai Li, Bingyun Liu, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

NeurIPS 2023 Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

ECML-PKDD 2023 Filtered Observations for Model-Based Multi-Agent Reinforcement Learning Linghui Meng, Xuantang Xiong, Yifan Zang, Xi Zhang, Guoqi Li, Dengpeng Xing, Bo Xu

IJCAI 2020 Potential Driven Reinforcement Learning for Hard Exploration Tasks Enmin Zhao, Shihong Deng, Yifan Zang, Yongxin Kang, Kai Li, Junliang Xing