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| An Improved Minimax-Q Algorithm Based on Generalized Policy Iteration to Solve a Chaser-Invader Game 会议论文 , 线上, 2020-5 作者: Liu MS(刘民颂) ; Zhu YH(朱圆恒) ; Zhao DB(赵冬斌)![](/image/person.jpg)
Adobe PDF(727Kb)  |   收藏  |  浏览/下载:22/10  |  提交时间:2024/07/04 |
| User Response Modeling in Reinforcement Learning for Ads Allocation 会议论文 , 新加坡, May 13 - 17, 2024 作者: Zhang, Zhiyuan ; Zhang, Qichao ; Wu, Xiaoxu; Shi, Xiaowen; Liao, Guogang; Wang, Yongkong; Wang, xingxing; Zhao, Dongbin![](/image/person.jpg)
Adobe PDF(2077Kb)  |   收藏  |  浏览/下载:35/15  |  提交时间:2024/06/25 Ads Allocation Reinforcement Learning User Response Modeling |
| Soft Contrastive Learning with Q-irrelevance Abstraction for Reinforcement Learning 期刊论文 IEEE Transactions on Cognitive and Developmental Systems, 2023, 卷号: 15, 期号: 3, 页码: 1463 - 1473 作者: Liu MS(刘民颂) ; Li LT(李伦通); Hao S(郝帅); Zhu YH(朱圆恒) ; Zhao DB(赵冬斌)![](/image/person.jpg)
Adobe PDF(4197Kb)  |   收藏  |  浏览/下载:43/15  |  提交时间:2024/06/24 |
| Enhancing Reinforcement Learning via Transformer-based State Predictive Representations 期刊论文 IEEE Transactions on Artificial Intelligence, 2024, 页码: 1 - 12 作者: Liu MS(刘民颂) ; Zhu YH(朱圆恒) ; Chen YR(陈亚冉) ; Zhao DB(赵冬斌)![](/image/person.jpg)
Adobe PDF(1162Kb)  |   收藏  |  浏览/下载:29/8  |  提交时间:2024/06/24 |
| Driving Control with Deep and Reinforcement Learning in The Open Racing Car Simulator 会议论文 , Siem Reap, Cambodia, 2018, 12, 13-16 作者: Yuanheng Zhu ; Dongbin Zhao![](/image/person.jpg)
Adobe PDF(697Kb)  |   收藏  |  浏览/下载:31/15  |  提交时间:2024/06/05 |
| MAT: Morphological Adaptive Transformer for Universal Morphology Policy Learning 期刊论文 IEEE Transactions on Cognitive and Developmental Systems, 2024, 页码: 1-12 作者: Boyu Li; Haran Li; Yuanheng Zhu ; Dongbin Zhao![](/image/person.jpg)
Adobe PDF(9953Kb)  |   收藏  |  浏览/下载:32/10  |  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![](/image/person.jpg)
Adobe PDF(2144Kb)  |   收藏  |  浏览/下载:44/8  |  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 |
| Advantage Constrained Proximal Policy Optimization in Multi-Agent Reinforcement Learning 会议论文 , 昆士兰, 2023-6 作者: Li WF(李伟凡) ; Zhu YH(朱圆恒) ; Zhao DB(赵冬斌)![](/image/person.jpg)
Adobe PDF(4104Kb)  |   收藏  |  浏览/下载:258/81  |  提交时间:2023/06/29 multi-agent reinforcement learning policy gradient |
| Benchmarking lane-changing decision-making for deep reinforcement learning 会议论文 , Guangzhou, China, 2021-11 作者: Wang JJ(王俊杰) ; Zhang QC(张启超) ; Zhao DB(赵冬斌)![](/image/person.jpg)
Adobe PDF(1117Kb)  |   收藏  |  浏览/下载:162/55  |  提交时间:2023/05/30 |
| Lane change decision-making through deep reinforcement learning with rule-based constraints 会议论文 , Budapest, Hungary, 2019-7 作者: Wang JJ(王俊杰) ; Zhang QC(张启超) ; Zhao DB(赵冬斌) ; Chen YR(陈亚冉)![](/image/person.jpg)
Adobe PDF(295Kb)  |   收藏  |  浏览/下载:145/43  |  提交时间:2023/05/30 Lane Change Decision-making Deep Reinforcement Learning Deep Q-Network |