Enmin Zhao

13 papers A* 4B 2C 1Journal 5Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Leveraging Privileged Information for Partially Observable Reinforcement Learning.
IEEE Trans. Games
Jinqiu Li, Enmin Zhao, Tong Wei, Junliang Xing, Shiming Xiang
2024 A* conf
Dual Critic Reinforcement Learning under Partial Observability.
NeurIPS
Jinqiu Li, Enmin Zhao, Tong Wei, Junliang Xing, Shiming Xiang
2024 J jnl
OpenHoldem: A Benchmark for Large-Scale Imperfect-Information Game Research.
IEEE Trans. Neural Networks Learn. Syst.
Kai Li, Hang Xu, Enmin Zhao, Zhe Wu, Junliang Xing
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
2023 B conf
Pseudo Value Network Distillation for High-Performance Exploration.
IJCNN
Enmin Zhao, Junliang Xing, Kai Li, Yongxin Kang, Pin Tao
2022 A* conf
AlphaHoldem: High-Performance Artificial Intelligence for Heads-Up No-Limit Poker via End-to-End Reinforcement Learning.
AAAI
Enmin Zhao, Renye Yan, Jinqiu Li, Kai Li, Junliang Xing
2022 C conf
Speedup Training Artificial Intelligence for Mahjong via Reward Variance Reduction.
CoG
Jinqiu Li, Shuang Wu, Haobo Fu, Qiang Fu, Enmin Zhao, 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
2021 A* conf
Exploration via State influence Modeling.
AAAI
Yongxin Kang, Enmin Zhao, Kai Li, Junliang Xing
2021 J jnl
L2E: Learning to Exploit Your Opponent.
CoRR
Zhe Wu, Kai Li, Enmin Zhao, Hang Xu, Meng Zhang, Haobo Fu, Bo An, Junliang Xing
2021 B conf
Learning to Play Hard Exploration Games Using Graph-Guided Self-Navigation.
IJCNN
Enmin Zhao, Renye Yan, Kai Li, Lijuan Li, Junliang Xing
2020 J jnl
OpenHoldem: An Open Toolkit for Large-Scale Imperfect-Information Game Research.
CoRR
Kai Li, Hang Xu, Meng Zhang, Enmin Zhao, Zhe Wu, Junliang Xing, Kaiqi Huang
2020 A* conf
Potential Driven Reinforcement Learning for Hard Exploration Tasks.
IJCAI
Enmin Zhao, Shihong Deng, Yifan Zang, Yongxin Kang, Kai Li, Junliang Xing