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CASIA OpenIR
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Meta-Imitation Learning by Watching Video Demonstrations 会议论文
, 线上, 2022.4.25-2022.4.29
作者:  Li, Jiayi;  Lu, Tao;  Cao, Xiaoge;  Cai, Yinghao;  Wang, Shuo
Adobe PDF(8968Kb)  |  收藏  |  浏览/下载：202/49  |  提交时间：2022/06/14
Meta-Residual Policy Learning: Zero-Trial Robot Skill Adaptation via Knowledge Fusion 期刊论文
IEEE Robotics and Automation Letters, 2022, 卷号: 7, 期号: 7, 页码: 3656-3663
作者:  Peng Hao;  Tao Lu;  Shaowei Cui;  Junhang Wei;  YInghao Cai;  Shuo Wang
Adobe PDF(1750Kb)  |  收藏  |  浏览/下载：206/38  |  提交时间：2022/04/08
meta-learning  residual learning  
Active Pushing for Better Grasping in Dense Clutter with Deep Reinforcement Learning 会议论文
, Shanghai, China, 6-8 Nov. 2020
作者:  Lu, Ning;  Lu, Tao;  Cai, Yinghao;  Wang, shuo
Adobe PDF(1435Kb)  |  收藏  |  浏览/下载：176/67  |  提交时间：2021/06/01
SOZIL: Self-Optimal Zero-shot Imitation Learning 期刊论文
IEEE Trans on Cognitive and Developmental System, 2021, 期号: 1, 页码: 1
作者:  Peng Hao;  Tao Lu;  Shaowei Cui;  Junhang Wei;  Yinghao Cai;  Shuo Wang
Adobe PDF(13840Kb)  |  收藏  |  浏览/下载：146/22  |  提交时间：2022/04/08
imitation learning  learning from observation  keyframe demonstration  
A Novel Heterogeneous Actor-critic Algorithm with Recent Emphasizing Replay Memory 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 619-631
作者:  Bao Xi;  Rui Wang;  Ying-Hao Cai;  TaoLu;  Shuo Wang
Adobe PDF(2505Kb)  |  收藏  |  浏览/下载：157/49  |  提交时间：2021/07/20
Reinforcement learning (RL)  actor-critic  experience replay  training efficiency  manipulation skill learning  
ACDER: Augmented Curiosity-Driven Experience Replay 会议论文
, Paris, France, 2020.05.31-2020.08.31
作者:  Li, Boyao;  Lu, Tao;  Li, Jiayi;  Lu, Ning;  Cai, Yinghao;  Wang, Shuo
浏览  |  Adobe PDF(3303Kb)  |  收藏  |  浏览/下载：242/75  |  提交时间：2020/08/27
Real-Sim-Real Transfer for Real-World Robot Control Policy Learning with Deep Reinforcement Learning 期刊论文
APPLIED SCIENCES-BASEL, 2020, 卷号: 10, 期号: 5, 页码: 16
作者:  Liu, Naijun;  Cai, Yinghao;  Lu, Tao;  Wang, Rui;  Wang, Shuo
浏览  |  Adobe PDF(6287Kb)  |  收藏  |  浏览/下载：251/60  |  提交时间：2020/06/02
robot  policy learning  reality gap  simulated environment  deep reinforcement learning  
Manipulation Skill Learning on Multi-step Complex Task Based on Explicit and Implicit Curriculum Learning 期刊论文
SCIENCE CHINA Information Sciences, 2020, 卷号: 0, 期号: 0, 页码: 0-0
作者:  Liu, Naijun;  Lu, Tao;  Cai, Yinghao;  Wang, Rui;  Wang, Shuo
浏览  |  Adobe PDF(2456Kb)  |  收藏  |  浏览/下载：164/68  |  提交时间：2020/09/27
robot  manipulation skill learning  multi-step complex task  curriculum learning  
Real-world Robot Reaching Skill Learning Based on Deep Reinforcement Learning 会议论文
, Hefei, China, 2020
作者:  Liu, Naijun;  Lu, Tao;  Cai, Yinghao;  Wang, Rui;  Wang, Shuo
浏览  |  Adobe PDF(436Kb)  |  收藏  |  浏览/下载：148/47  |  提交时间：2020/09/27
Curiosity-Driven Exploration for Off-Policy Reinforcement Learning Methods 会议论文
, Dali, China, 2019.12.06-2019.12.08
作者:  Li, Boyao;  Lu, Tao;  Li, Jiayi;  Lu, Ning;  Cai, Yinghao;  Wang, Shuo
浏览  |  Adobe PDF(2877Kb)  |  收藏  |  浏览/下载：191/68  |  提交时间：2020/08/27