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Balancing Exploration and Exploitation in Hierarchical Reinforcement Learning via Latent Landmark Graphs 会议论文
, 澳大利亚, 2023-6
作者:  Zhang Qingyang;  Yang Yiming;  Ruan Jingqing;  Xiong Xuantang;  Xing Dengpeng;  Xu Bo
Adobe PDF(7948Kb)  |  收藏  |  浏览/下载:38/14  |  提交时间:2024/06/25
强化学习,分层强化学习  
FFCM-MRF: An accurate and generalizable cerebrovascular segmentation pipeline for humans and rhesus monkeys based on TOF-MRA 期刊论文
Computers in Biology and Medicine, 2024, 卷号: 170, 页码: 107996
作者:  Yue Cui;  Haibin Huang;  Jialu Liu;  Mingyang Zhao;  Chengyi Li;  Xinyong Han;  Na Luo;  Jinquan Gao;  Dong-ming Yan;  Chen Zhang;  Tianzi Jiang;  Shan Yu
Adobe PDF(985Kb)  |  收藏  |  浏览/下载:49/10  |  提交时间:2024/06/21
Cerebral vessels  Generalization  Markov random field  Segmentation  TOF-MRA  Unsupervised learning  
Learn to flap: foil non-parametric path planning via deep reinforcement learning 期刊论文
Journal of Fluid Mechanics, 2024, 卷号: 984, 页码: A9
作者:  Wang, Zhipeng;  Lin, Runji;  Zhao, Zhiyu;  Chen, Xu;  Guo, Pengming;  Yang, Ning;  Wang,Zhicheng;  Fan, Dixia
Adobe PDF(1892Kb)  |  收藏  |  浏览/下载:52/12  |  提交时间:2024/06/07
A Cooperation Graph Approach for Multiagent Sparse Reward Reinforcement Learning 会议论文
, Padua, Italy, 2022年07月
作者:  Qingxu Fu;  Tenghai Qiu;  Zhiqiang Pu;  Jianqiang Yi;  Wanmai Yuan
Adobe PDF(2650Kb)  |  收藏  |  浏览/下载:43/14  |  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: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  
Continuous Exploration via Multiple Perspectives in Sparse Reward Environment 会议论文
, 厦门国际会议中心, 2023-10-13
作者:  Chen ZP(陈忠鹏);  Guan Q(关强)
Adobe PDF(2260Kb)  |  收藏  |  浏览/下载:39/12  |  提交时间:2024/06/04
Reinforcement Learning · Exploration Strategy · Sparse Reward · Intrinsic Motivation  
A memory and attention-based reinforcement learning for musculoskeletal robots with prior knowledge of muscle synergies 期刊论文
Robotic Intelligence and Automation, 2024, 卷号: 44, 期号: 2, 页码: 316-333
作者:  Xiaona Wang;  Jiahao Chen;  Hong Qiao
Adobe PDF(2591Kb)  |  收藏  |  浏览/下载:60/18  |  提交时间:2024/06/04
Musculoskeletal robot  Partial observable  Reinforcement learning  LSTM  Attention  Muscle synergy  
Robust Motion Learning for Musculoskeletal Robots Based on a Recurrent Neural Network and Muscle Synergies 期刊论文
IEEE Transactions on Automation Science and Engineering, 2024, 页码: 1-16
作者:  Jiahao Chen;  Wu YX(吴亚雄);  Yao CJ(姚超竞);  Huang X(黄销)
Adobe PDF(4084Kb)  |  收藏  |  浏览/下载:61/15  |  提交时间:2024/06/04
Musculoskeletal system  Robots  Muscles  Reinforcement learning  Robustness  Learning systems  Recurrent neural networks  Musculoskeletal robots  recurrent neural network  muscle synergy  robustness  
Class Incremental Robotic Pick-and-Place via Incremental Few-Shot Object Detection 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2023, 卷号: 8, 期号: 9, 页码: 5974-5981
作者:  Deng JR(邓杰仁);  Zhang HJ(张好剑);  Hu JH(胡建华);  Zhang XX(张兴轩);  Wang YK(王云宽)
Adobe PDF(1914Kb)  |  收藏  |  浏览/下载:79/16  |  提交时间:2024/05/31
Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control 会议论文
Advances in Neural Information Processing Systems, New Orleans, USA, 2023-12-10
作者:  Chao Li;  Chen Gong;  Qiang He;  Xinwen Hou
Adobe PDF(1457Kb)  |  收藏  |  浏览/下载:42/12  |  提交时间:2024/05/30