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| 面向多机器人博弈的深度强化学习方法 学位论文 , 2024 作者: 胡光政 Adobe PDF(17740Kb)  |  收藏  |  浏览/下载:21/0  |  提交时间:2024/07/04 多智能体深度强化学习 多机器人博弈 极小极大Q学习 值分解 最大熵 |
| Adaptive Multi-Agent Coordination among Different Team Attribute Tasks via Contextual Meta-Reinforcement Learning 会议论文 , 河南开封, 2024年5月17-19日 作者: Huang, Shangjing; Zhao, Zijie; Zhu, Yuanheng; Zhao, Dongbin Adobe PDF(15515Kb)  |  收藏  |  浏览/下载:15/6  |  提交时间:2024/06/26 |
| Towards Zero-Shot Generalization: Mutual Information-Guided Hierarchical Multi-Agent Coordination 会议论文 , 日本, 2024-6 作者: Zhang Qingyang; Xu Bo Adobe PDF(8862Kb)  |  收藏  |  浏览/下载:15/5  |  提交时间:2024/06/25 强化学习,分层强化学习 |
| Learning in bi-level markov games 会议论文 , Padua, Italy, 2022.7.18-2022.7.23 作者: Meng Linghui; Ruan Jingqing; Xing Dengpeng; Xu Bo Adobe PDF(1450Kb)  |  收藏  |  浏览/下载:35/12  |  提交时间:2024/06/11 |
| Filtered Observations for Model-Based Multi-agent Reinforcement Learning 会议论文 , Turin, Italy, 2023.9.18-2023.9.22 作者: Meng Linghui; Xiong Xuantang; Zang Yifan; Zhang Xi; Li Guoqi; Xing Dengpeng; Xu Bo Adobe PDF(841Kb)  |  收藏  |  浏览/下载:33/13  |  提交时间:2024/06/11 |
| Discovering Latent Variables for the Tasks With Confounders in Multi-Agent Reinforcement Learning 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 7, 页码: 1591-1604 作者: Kun Jiang; Wenzhang Liu; Yuanda Wang; Lu Dong; Changyin Sun Adobe PDF(2128Kb)  |  收藏  |  浏览/下载:32/11  |  提交时间:2024/06/07 Latent variable model maximum entropy multi-agent reinforcement learning (MARL) multi-agent system |
| Learning Superior Cooperative Policy in Competitive Multi-team Reinforcement Learning 会议论文 , Gold Coast, Australia, 2023-6 作者: Qingxu Fu; Tenghai Qiu; Zhiqiang Pu; Jianqiang Yi; Xiaolin Ai; Wanmai Yuan Adobe PDF(25675Kb)  |  收藏  |  浏览/下载:35/5  |  提交时间:2024/06/05 |
| Learning Heterogeneous Agent Cooperation via Multiagent League Training 期刊论文 IFAC World Congress, 2023, 页码: IFAC PapersOnLine 56-2 (2023) 3033-3040 作者: Qingxu, Fu; Xiaolin Ai; Jianqiang Yi; Tenghai Qiu; Wanmai Yuan; Zhiqiang Pu Adobe PDF(996Kb)  |  收藏  |  浏览/下载:31/9  |  提交时间:2024/06/05 |
| FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game 期刊论文 IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, 页码: 1-13 作者: Guangzheng Hu; Yuanheng Zhu; Haoran Li; Dongbin Zhao Adobe PDF(2144Kb)  |  收藏  |  浏览/下载:32/4  |  提交时间:2024/06/05 Games Q-learning Task analysis Optimization Convergence Training Nash equilibrium Multi-agent reinforcement learning minimax-Q learning two-team zero-sum Markov games |
| Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems 会议论文 , online, 2022 作者: Qingxu Fu; Tenghai Qiu; Jianqiang Yi; Zhiqiang Pu; Shiguang Wu Adobe PDF(5807Kb)  |  收藏  |  浏览/下载:31/9  |  提交时间:2024/06/05 |