Enmin Zhao

According to our database, Enmin Zhao authored at least 13 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Leveraging Privileged Information for Partially Observable Reinforcement Learning.

Jinqiu Li, Enmin Zhao, Tong Wei, Junliang Xing, Shiming Xiang

IEEE Trans. Games, September, 2025

2024

OpenHoldem: A Benchmark for Large-Scale Imperfect-Information Game Research.

Kai Li, Hang Xu, Enmin Zhao, Zhe Wu, Junliang Xing

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Sample Efficient Reinforcement Learning Using Graph-Based Memory Reconstruction.

Yongxin Kang, Enmin Zhao, Yifan Zang, Lijuan Li, Kai Li, Pin Tao, Junliang Xing

IEEE Trans. Artif. Intell., February, 2024

Dual Critic Reinforcement Learning under Partial Observability.

Jinqiu Li, Enmin Zhao, Tong Wei, Junliang Xing, Shiming Xiang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Pseudo Value Network Distillation for High-Performance Exploration.

Enmin Zhao, Junliang Xing, Kai Li, Yongxin Kang, Pin Tao

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Towards a Unified Benchmark for Reinforcement Learning in Sparse Reward Environments.

Yongxin Kang, Enmin Zhao, Yifan Zang, Kai Li, Junliang Xing

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Speedup Training Artificial Intelligence for Mahjong via Reward Variance Reduction.

Jinqiu Li, Shuang Wu, Haobo Fu, Qiang Fu, Enmin Zhao, Junliang Xing

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

L2E: Learning to Exploit Your Opponent.

Zhe Wu, Kai Li, Enmin Zhao, Hang Xu, Meng Zhang, Haobo Fu, Bo An, Junliang Xing

CoRR, 2021

Learning to Play Hard Exploration Games Using Graph-Guided Self-Navigation.

Enmin Zhao, Renye Yan, Kai Li, Lijuan Li, Junliang Xing

Proceedings of the International Joint Conference on Neural Networks, 2021

Exploration via State influence Modeling.

Yongxin Kang, Enmin Zhao, Kai Li, Junliang Xing

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

OpenHoldem: An Open Toolkit for Large-Scale Imperfect-Information Game Research.

Kai Li, Hang Xu, Meng Zhang, Enmin Zhao, Zhe Wu, Junliang Xing, Kaiqi Huang

CoRR, 2020

Potential Driven Reinforcement Learning for Hard Exploration Tasks.

Enmin Zhao, Shihong Deng, Yifan Zang, Yongxin Kang, Kai Li, Junliang Xing

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020