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2020 – today
- 2024
[j2]Yongxin Kang
, Enmin Zhao, Yifan Zang, Lijuan Li, Kai Li, Pin Tao, Junliang Xing:
Sample Efficient Reinforcement Learning Using Graph-Based Memory Reconstruction. IEEE Trans. Artif. Intell. 5(2): 751-762 (2024)- [j1]Kai Li, Hang Xu, Enmin Zhao, Zhe Wu, Junliang Xing:
OpenHoldem: A Benchmark for Large-Scale Imperfect-Information Game Research. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14618-14632 (2024) - 2023
- [c7]Enmin Zhao, Junliang Xing, Kai Li, Yongxin Kang, Pin Tao:
Pseudo Value Network Distillation for High-Performance Exploration. IJCNN 2023: 1-8 - 2022
- [c6]Enmin Zhao, Renye Yan, Jinqiu Li, Kai Li, Junliang Xing:
AlphaHoldem: High-Performance Artificial Intelligence for Heads-Up No-Limit Poker via End-to-End Reinforcement Learning. AAAI 2022: 4689-4697 - [c5]Jinqiu Li, Shuang Wu, Haobo Fu, Qiang Fu, Enmin Zhao, Junliang Xing:
Speedup Training Artificial Intelligence for Mahjong via Reward Variance Reduction. CoG 2022: 345-352 - [c4]Yongxin Kang, Enmin Zhao, Yifan Zang, Kai Li, Junliang Xing:
Towards a Unified Benchmark for Reinforcement Learning in Sparse Reward Environments. ICONIP (4) 2022: 189-201 - 2021
- [c3]Yongxin Kang, Enmin Zhao, Kai Li, Junliang Xing:
Exploration via State influence Modeling. AAAI 2021: 8047-8054 - [c2]Enmin Zhao, Renye Yan, Kai Li, Lijuan Li, Junliang Xing:
Learning to Play Hard Exploration Games Using Graph-Guided Self-Navigation. IJCNN 2021: 1-7 - [i2]Zhe Wu, Kai Li, Enmin Zhao, Hang Xu, Meng Zhang, Haobo Fu, Bo An, Junliang Xing:
L2E: Learning to Exploit Your Opponent. CoRR abs/2102.09381 (2021) - 2020
- [c1]Enmin Zhao, Shihong Deng, Yifan Zang, Yongxin Kang, Kai Li, Junliang Xing:
Potential Driven Reinforcement Learning for Hard Exploration Tasks. IJCAI 2020: 2096-2102 - [i1]Kai Li, Hang Xu, Meng Zhang, Enmin Zhao, Zhe Wu, Junliang Xing, Kaiqi Huang:
OpenHoldem: An Open Toolkit for Large-Scale Imperfect-Information Game Research. CoRR abs/2012.06168 (2020)
Coauthor Index
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