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基于视觉表征的深度强化学习方法 学位论文
, 2024
作者:  刘民颂
Adobe PDF(10778Kb)  |  收藏  |  浏览/下载：42/4  |  提交时间：2024/06/22
深度强化学习，视觉表征学习，自监督学习，状态抽象，Transformer神经网络  
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：53/15  |  提交时间：2024/06/04
Musculoskeletal robot  Partial observable  Reinforcement learning  LSTM  Attention  Muscle synergy  
Motion Learning for Musculoskeletal Robots Based on Cortex-Inspired Motor Primitives and Modulation 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2024, 卷号: 16, 期号: 2, 页码: 744-756
作者:  Xiaona Wang;  Jiahao Chen;  Wei Wu
Adobe PDF(3444Kb)  |  收藏  |  浏览/下载：34/8  |  提交时间：2024/06/04
Biologically inspired control  motor preparation  motor primitive  musculoskeletal robot  recurrent neural network (RNN)  
Memory, attention, and muscle synergies based reinforcement and transfer learning for musculoskeletal robots under imperfect observation 期刊论文
IEEE/ASME Transactions on Mechatronics, 2024, 页码: doi:10.1109/TMECH.2024.3401045
作者:  Chen JH(陈嘉浩);  Wu YX(吴亚雄);  Qiao H(乔红)
Adobe PDF(5646Kb)  |  收藏  |  浏览/下载：24/6  |  提交时间：2024/06/04
Muscle synergy  musculoskeletal robots  reinforcement learning  
A Multi-module Controller for Walking Quadruped Robots 期刊论文
Journal of Bionic Engineering, 2019, 卷号: 16, 期号: 1, 页码: 253-263
作者:  Wang, Boxing;  Wan, Ziwei;  Zhou, Chunlin;  Wu, Jun;  Qiu, Yanfeng;  Gao, Zhijun
Adobe PDF(2969Kb)  |  收藏  |  浏览/下载：206/64  |  提交时间：2022/04/07
Central Pattern Generator  open-loop stability  agile locomotion control  quadruped robots  
Entity Recommendation with Negative Feedback Memory Networks for Topic-oriented Knowledge Graph Exploration 期刊论文
IEEE Transactions on Reliability, 2022, 卷号: 71, 期号: 2, 页码: 0
作者:  Yang, Yi;  Li, Meng;  Wang, Jian;  Huang, Weixing;  Wang,Yun
Adobe PDF(810Kb)  |  收藏  |  浏览/下载：337/111  |  提交时间：2022/03/31
entity recommendation  knowledge graph  negative feedback  memory network  knowledge graph exploration  
StarCraft Micromanagement With Reinforcement Learning and Curriculum Transfer Learning 期刊论文
IEEE Transactions on Emerging Topics in Computational Intelligence, 2019, 卷号: 3, 期号: 1, 页码: 73-84
作者:  Kun Shao;  Yuanheng Zhu;  Dongbin Zhao
浏览  |  Adobe PDF(4125Kb)  |  收藏  |  浏览/下载：362/136  |  提交时间：2019/04/22
Reinforcement Learning, Transfer Learning, Curriculum Learning, Neural Network, Game Ai