已选(0)清除
条数/页: 排序方式: |
| 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) Adobe PDF(4104Kb)  |  收藏  |  浏览/下载:196/67  |  提交时间:2023/06/29 multi-agent reinforcement learning policy gradient |
| PiCor: Multi-Task Deep Reinforcement Learning with Policy Correction 会议论文 Proceedings of the AAAI Conference on Artificial Intelligence, 美国 华盛顿, 2023.02.07 - 2023.02.14 作者: Bai FS(白丰硕); Zhang HM(张鸿铭); Tao TY(陶天阳); Wu ZH(武志亨); Wang YN(王燕娜); Xu B(徐博) Adobe PDF(1663Kb)  |  收藏  |  浏览/下载:140/34  |  提交时间:2023/07/05 Reinforcement Learning Algorithms Transfer Domain Adaptation Multi-Task Learning |
| Knowledge Transfer from Situation Evaluation to Multi-agent Reinforcement Learning 会议论文 , New Delhi, India, 2022年11月22-2022年11月26 作者: Chen M(陈敏); Pu ZQ(蒲志强); Pan Y(潘一); Yi JQ(易建强) Adobe PDF(4734Kb)  |  收藏  |  浏览/下载:129/47  |  提交时间:2023/06/27 Multi-agent reinforcement learning Transfer learning |
| Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks 会议论文 , Washington DC, USA, 2023-2-7 作者: Pei Xu; Junge Zhang; Qiyue Yin; Chao Yu; Yaodong Yang; Kaiqi Huang Adobe PDF(2037Kb)  |  收藏  |  浏览/下载:176/59  |  提交时间:2023/06/19 deep reinforcement learning sparse reward exploration multi-agent |
| Improving the Ability of Robots to Navigate Through Crowded Environments Safely using Deep Reinforcement Learning 会议论文 , 中国桂林, 2022-7-9 作者: Shan QF(单钦锋); Wang WJ(王伟杰); Guo DF(郭丁飞); Sun XR(孙向荣); Jia LH(贾立好) Adobe PDF(494Kb)  |  收藏  |  浏览/下载:98/28  |  提交时间:2023/06/05 Deep learning Mechatronics Navigation Reinforcement learning Cost function Real-time systems Trajectory |
| POPO: Pessimistic Offline Policy Optimization 会议论文 , Singapore, Singapore, 23-27 May 2022 作者: He Q(何强); Hou XW(侯新文); Liu Y(刘禹) Adobe PDF(1200Kb)  |  收藏  |  浏览/下载:165/34  |  提交时间:2022/06/27 reinforcement learning offline optimization out-of-distribution |
| Trajectory-based Split Hindsight Reverse Curriculum Learning 会议论文 , Prague, Czech Republic, 2021-9 作者: Wu, Jiaxi; Zhang, Dianmin; Zhong, Shanlin; Qiao, Hong Adobe PDF(5094Kb)  |  收藏  |  浏览/下载:200/43  |  提交时间:2022/06/14 Reinforcement Learning Curriculum Learning |
| Learning Smooth and Omnidirectional Locomotion for Quadruped Robots 会议论文 , Chongqing, China, 2021-7 作者: Wu, Jiaxi; Wang, Chen'an; Zhang, Dianmin; Zhong, Shanlin; Wang, Boxing; Qiao, Hong Adobe PDF(1436Kb)  |  收藏  |  浏览/下载:164/41  |  提交时间:2022/06/14 Quadruped Robot Reinforcement Learning |
| Wide-Sense Stationary Policy Optimization with Bellman Residual on Video Games 会议论文 , Shenzhen, China, 05-09 July 2021 作者: Gong C(龚晨); He Q(何强); Bai YP(白云鹏); Hou XW(侯新文); Fan GL(范国梁); Liu Y(刘禹) Adobe PDF(2780Kb)  |  收藏  |  浏览/下载:199/37  |  提交时间:2022/06/27 Video Game Reinforcement Learning Quantile Regression Bellman residual Wasserstein Distance |
| Omnidirectional Drift Control of an Underwater Biomimetic Vehicle-Manipulator System via Reinforcement Learning 会议论文 , Suzhou, China, May 14-16, 2021 作者: Ma, Ruichen; Wang, Yu; Wang, Rui; Wang, Shuo Adobe PDF(855Kb)  |  收藏  |  浏览/下载:71/28  |  提交时间:2023/08/02 Omnidirectional Drift Control Undulating Fin Underwater Biomimetic Vehicle-manipulator System (UBVMS) Reinforcement Learning Twin Delayed Deep Deterministic policy gradient (TD3) |