| 2025 | ICML | Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning. | Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng |
| 2025 | IJCNN | Pattern Extraction Learning for Cooperative Multi-Agent Reinforcement Learning. | Yifan Zang, Jinmin He, Kai Li, Junliang Xing, Jian Cheng |
| 2024 | AAAI | 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 |
| 2024 | AAAI | Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning. | Junkai Zhang, Yifan Zhang, Xi Sheryl Zhang, Yifan Zang, Jian Cheng |
| 2024 | ICLR | Towards Offline Opponent Modeling with In-context Learning. | Yuheng Jing, Kai Li, Bingyun Liu, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng |
| 2022 | ICONIP | Towards a Unified Benchmark for Reinforcement Learning in Sparse Reward Environments. | Yongxin Kang, Enmin Zhao, Yifan Zang, Kai Li, Junliang Xing |
| 2022 | IJCNN | L2E: Learning to Exploit Your Opponent. | Zhe Wu, Kai Li, Hang Xu, Yifan Zang, Bo An, Junliang Xing |
| 2020 | IJCAI | Potential Driven Reinforcement Learning for Hard Exploration Tasks. | Enmin Zhao, Shihong Deng, Yifan Zang, Yongxin Kang, Kai Li, Junliang Xing |