Potential Driven Reinforcement Learning for Hard Exploration Tasks. - Enmin Zhao; Shihong Deng; Yifan Zang 001; Yongxin Kang; Kai Li 022; Junliang Xing (IJCAI, 2020)

OpenHoldem: An Open Toolkit for Large-Scale Imperfect-Information Game Research. - Kai Li 022; Hang Xu 006; Meng Zhang; Enmin Zhao; Zhe Wu; Junliang Xing; Kaiqi Huang (CoRR, 2020)

Exploration via State influence Modeling. - Yongxin Kang; Enmin Zhao; Kai Li 022; Junliang Xing (AAAI, 2021)

Learning to Play Hard Exploration Games Using Graph-Guided Self-Navigation. - Enmin Zhao; Renye Yan; Kai Li 022; Lijuan Li 002; Junliang Xing (IJCNN, 2021)

L2E: Learning to Exploit Your Opponent. - Zhe Wu; Kai Li 022; Enmin Zhao; Hang Xu 006; Meng Zhang; Haobo Fu; Bo An 001; Junliang Xing (CoRR, 2021)

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 022; Junliang Xing (AAAI, 2022)

Speedup Training Artificial Intelligence for Mahjong via Reward Variance Reduction. - Jinqiu Li; Shuang Wu; Haobo Fu; Qiang Fu 016; Enmin Zhao; Junliang Xing (CoG, 2022)

Towards a Unified Benchmark for Reinforcement Learning in Sparse Reward Environments. - Yongxin Kang; Enmin Zhao; Yifan Zang 001; Kai Li 022; Junliang Xing (ICONIP (4), 2022)

Pseudo Value Network Distillation for High-Performance Exploration. - Enmin Zhao; Junliang Xing; Kai Li 022; Yongxin Kang; Pin Tao (IJCNN, 2023)

Dual Critic Reinforcement Learning under Partial Observability. - Jinqiu Li; Enmin Zhao; Tong Wei; Junliang Xing; Shiming Xiang (NeurIPS, 2024)

Sample Efficient Reinforcement Learning Using Graph-Based Memory Reconstruction. - Yongxin Kang; Enmin Zhao; Yifan Zang 001; Lijuan Li 002; Kai Li 022; Pin Tao; Junliang Xing (IEEE Trans. Artif. Intell., 2024)

OpenHoldem: A Benchmark for Large-Scale Imperfect-Information Game Research. - Kai Li 022; Hang Xu 006; Enmin Zhao; Zhe Wu; Junliang Xing (IEEE Trans. Neural Networks Learn. Syst., 2024)