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Xunhan Hu
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2020 – today
- 2024
- [j5]Jian Zhao
, Xunhan Hu, Mingyu Yang
CTDS: Centralized Teacher With Decentralized Student for Multiagent Reinforcement Learning. IEEE Trans. Games 16(1): 140-150 (2024) - [j4]Youpeng Zhao
Full DouZero+: Improving DouDizhu AI by Opponent Modeling, Coach-Guided Training and Bidding Learning. IEEE Trans. Games 16(3): 518-529 (2024) - [j3]Jian Zhao
MCMARL: Parameterizing Value Function via Mixture of Categorical Distributions for Multi-Agent Reinforcement Learning. IEEE Trans. Games 16(3): 556-565 (2024) - 2023
- [j2]Chenxu Wang
Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation. IEEE Trans. Big Data 9(6): 1607-1619 (2023) - [c4]Xunhan Hu, Jian Zhao, Youpeng Zhao, Wengang Zhou, Houqiang Li:
Q-SAT: Value Factorization with Self-Attention for Deep Multi-Agent Reinforcement Learning. IJCNN 2023: 1-8 - [c3]Xunhan Hu, Jian Zhao, Wengang Zhou, Ruili Feng, Houqiang Li:
DIFFER: Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement Learning. NeurIPS 2023 - [i8]Xunhan Hu, Jian Zhao, Wengang Zhou, Houqiang Li:
Discriminative Experience Replay for Efficient Multi-agent Reinforcement Learning. CoRR abs/2301.10574 (2023) - 2022
- [j1]Jian Zhao, Youpeng Zhao, Weixun Wang, Mingyu Yang, Xunhan Hu, Wengang Zhou, Jianye Hao, Houqiang Li:
Coach-assisted multi-agent reinforcement learning framework for unexpected crashed agents. Frontiers Inf. Technol. Electron. Eng. 23(7): 1032-1042 (2022) - [c2]Youpeng Zhao, Jian Zhao, Xunhan Hu, Wengang Zhou, Houqiang Li:
DouZero+: Improving DouDizhu AI by Opponent Modeling and Coach-guided Learning. CoG 2022: 127-134 - [c1]Mingyu Yang, Jian Zhao, Xunhan Hu, Wengang Zhou, Jiangcheng Zhu, Houqiang Li:
LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning. NeurIPS 2022 - [i7]Jian Zhao, Yue Zhang, Xunhan Hu, Weixun Wang, Wengang Zhou, Jianye Hao, Jiangcheng Zhu, Houqiang Li:
Revisiting QMIX: Discriminative Credit Assignment by Gradient Entropy Regularization. CoRR abs/2202.04427 (2022) - [i6]Jian Zhao, Mingyu Yang, Xunhan Hu, Wengang Zhou, Houqiang Li:
DQMIX: A Distributional Perspective on Multi-Agent Reinforcement Learning. CoRR abs/2202.10134 (2022) - [i5]Jian Zhao, Xunhan Hu, Mingyu Yang, Wengang Zhou, Jiangcheng Zhu, Houqiang Li:
CTDS: Centralized Teacher with Decentralized Student for Multi-Agent Reinforcement Learning. CoRR abs/2203.08412 (2022) - [i4]Jian Zhao, Youpeng Zhao, Weixun Wang, Mingyu Yang, Xunhan Hu, Wengang Zhou, Jianye Hao, Houqiang Li:
Coach-assisted Multi-Agent Reinforcement Learning Framework for Unexpected Crashed Agents. CoRR abs/2203.08454 (2022) - [i3]Youpeng Zhao, Jian Zhao, Xunhan Hu, Wengang Zhou, Houqiang Li:
DouZero+: Improving DouDizhu AI by Opponent Modeling and Coach-guided Learning. CoRR abs/2204.02558 (2022) - [i2]Mingyu Yang, Jian Zhao, Xunhan Hu, Wengang Zhou, Jiangcheng Zhu, Houqiang Li:
LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2205.02561 (2022) - [i1]Chenxu Wang, Fuli Feng, Yang Zhang, Qifan Wang, Xunhan Hu, Xiangnan He:
Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation. CoRR abs/2209.11679 (2022)
Coauthor Index
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