Publications

Recent Papers:

• Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent
  Hang Xu, Kai Li, Bingyun Liu, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng.
  International Joint Conference on Artificial Intelligence (IJCAI), 2024.
  Paper ArXiv Code

• Towards Offline Opponent Modeling with In-context Learning
  Yuheng Jing, Kai Li, Bingyun Liu, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng.
  International Conference on Learning Representations (ICLR), 2024.
  Paper Code

• Dynamic Discounted Counterfactual Regret Minimization
  Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng.
  International Conference on Learning Representations (ICLR), 2024, Spotlight, Top 5%.
  Paper Code

• 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.
  AAAI Conference on Artificial Intelligence (AAAI), 2024.
  Paper ArXiv

• Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning
  Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng.
  Neural Information Processing Systems (NeurIPS), 2023.
  Paper Code

• OpenHoldem: A Benchmark for Large-Scale Imperfect-Information Game Research
  Kai Li, Hang Xu, Enmin Zhao, Zhe Wu, Junliang Xing.
  IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023.
  Paper ArXiv News

• Sample Efficient Reinforcement Learning Using Graph-Based Memory Reconstruction
  Yongxin Kang, Enmin Zhao, Yifan Zang, Lijuan Li, Kai Li, Pin Tao, Junliang Xing.
  IEEE Transactions on Artificial Intelligence (TAI), 2023.
  Paper

• Sequential Cooperative Multi-Agent Reinforcement Learning
  Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing.
  International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2023.
  Paper Code

• Greedy when Sure and Conservative when Uncertain about the Opponents
  Haobo Fu, Ye Tian, Hongxiang Yu, Weiming Liu, Shuang Wu, Jiechao Xiong, Ying Wen, Kai Li, Junliang Xing, Qiang Fu, Wei Yang.
  International Conference on Machine Learning (ICML), 2022, Spotlight.
  Paper Code

• Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game
  Haobo Fu, Weiming Liu, Shuang Wu, Yijia Wang, Tao Yang, Kai Li, Junliang Xing, Bin Li, Bo Ma, Qiang Fu, Yang Wei.
  International Conference on Learning Representations (ICLR), 2022.
  Paper Code

• AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms
  Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing.
  AAAI Conference on Artificial Intelligence (AAAI), 2022, Oral.
  Paper Code

• AlphaHoldem: High-Performance Artificial Intelligence for Heads-Up No-Limit Poker via End-to-End Reinforcement Learning
  Enmin Zhao, Renye Yan, Jinqiu Li, Kai Li, Junliang Xing.
  AAAI Conference on Artificial Intelligence (AAAI), 2022. Distinguished Paper Award!
  Paper News

• Exploration via State Influence Modeling
  Yongxin Kang, Enmin Zhao, Kai Li, Junliang Xing.
  AAAI Conference on Artificial Intelligence (AAAI), 2021.
  Paper

• Potential Driven Reinforcement Learning for Hard Exploration Tasks
  Enmin Zhao, Shihong Deng, Yifan Zang, Yongxin Kang, Kai Li, Junliang Xing.
  International Joint Conference on Artificial Intelligence (IJCAI), 2020.
  Paper Code