Yifan Zang - RankMe

19 papers A* 8A 1B 2Journal 6Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Efficient Multi-Task Reinforcement Learning with Cross-Task Policy Guidance. CoRR Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2025	A*	`conf`	Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning. ICML Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2025	J	`jnl`	Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning. CoRR Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2025	B	`conf`	Pattern Extraction Learning for Cooperative Multi-Agent Reinforcement Learning. IJCNN Yifan Zang, Jinmin He, Kai Li, Junliang Xing, Jian Cheng
2024	J	`jnl`	Deep Multitask Multiagent Reinforcement Learning With Knowledge Transfer. IEEE Trans. Games Yuxiang Mai, Yifan Zang, Qiyue Yin, Wancheng Ni, Kaiqi Huang
2024	A*	`conf`	Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance. NeurIPS Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2024	A*	`conf`	Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning. AAAI Junkai Zhang, Yifan Zhang, Xi Sheryl Zhang, Yifan Zang, Jian Cheng
2024	J	`jnl`	Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning. CoRR Junkai Zhang, Yifan Zhang, Xi Sheryl Zhang, Yifan Zang, Jian Cheng
2024	A*	`conf`	Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing. AAAI Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2024	A*	`conf`	Opponent Modeling with In-context Search. NeurIPS Yuheng Jing, Bingyun Liu, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2024	J	`jnl`	Sample Efficient Reinforcement Learning Using Graph-Based Memory Reconstruction. IEEE Trans. Artif. Intell. Yongxin Kang, Enmin Zhao, Yifan Zang, Lijuan Li, Kai Li, Pin Tao, Junliang Xing
2024	A*	`conf`	Towards Offline Opponent Modeling with In-context Learning. ICLR Yuheng Jing, Kai Li, Bingyun Liu, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2023	A*	`conf`	Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning. NeurIPS Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2023	—	`conf`	Filtered Observations for Model-Based Multi-agent Reinforcement Learning. ECML/PKDD (4) Linghui Meng, Xuantang Xiong, Yifan Zang, Xi Zhang, Guoqi Li, Dengpeng Xing, Bo Xu
2023	J	`jnl`	Not All Tasks Are Equally Difficult: Multi-Task Reinforcement Learning with Dynamic Depth Routing. CoRR Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2023	A	`conf`	Sequential Cooperative Multi-Agent Reinforcement Learning. AAMAS Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing
2022	B	`conf`	L2E: Learning to Exploit Your Opponent. IJCNN Zhe Wu, Kai Li, Hang Xu, Yifan Zang, Bo An, Junliang Xing
2022	—	`conf`	Towards a Unified Benchmark for Reinforcement Learning in Sparse Reward Environments. ICONIP (4) Yongxin Kang, Enmin Zhao, Yifan Zang, Kai Li, Junliang Xing
2020	A*	`conf`	Potential Driven Reinforcement Learning for Hard Exploration Tasks. IJCAI Enmin Zhao, Shihong Deng, Yifan Zang, Yongxin Kang, Kai Li, Junliang Xing