CASIA OpenIR
(本次检索基于用户作品认领结果)

浏览/检索结果: 共6条,第1-6条 帮助

限定条件                
已选(0)清除 条数/页:   排序方式:
Conservative Policy Gradient in Multi-critic Setting 会议论文
, Hangzhou, China, 2019.11.22-24
作者:  Xi, Bao;  Wang, Rui;  Wang, Shuo;  Lu, Tao;  Cai, Yinghao
浏览  |  Adobe PDF(379Kb)  |  收藏  |  浏览/下载:203/70  |  提交时间:2021/02/02
inconsistancy  stablility  Q learning  policy gradient  
Self-modeling Tracking Control of Crawler Fire Fighting Robot Based on Causal Network 会议论文
, 中国澳门, 2019年11月4日至8日
作者:  Chang WK(常文凯);  Li P(李朋);  Yang CY(杨彩云);  Lu T(鲁涛);  Cai YH(蔡莹皓);  Wang S(王硕)
浏览  |  Adobe PDF(5170Kb)  |  收藏  |  浏览/下载:232/53  |  提交时间:2020/10/21
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:197/69  |  提交时间:2020/08/27
An Automatic Robot Skills Learning System from Robot's Real-World Demonstrations 会议论文
, Nanchang, China, 2019.06.03-2019.06.05
作者:  Li, Boyao;  Lu, Tao;  Li, Xiaocan;  Cai, Yinghao;  Wang, Shuo
浏览  |  Adobe PDF(10072Kb)  |  收藏  |  浏览/下载:152/29  |  提交时间:2020/08/27
learn from demonstrations  simulation  real-world demonstrations  coordinate transformation  
Prediction-Based Seabed Terrain Following Control for an Underwater Vehicle-Manipulator System 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 卷号: 51, 期号: 无, 页码: 无
作者:  Cai, Mingxue;  Wang, Yu;  Wang, Shuo;  Wang, Rui;  Cheng, Long;  Tan, Min
浏览  |  Adobe PDF(2339Kb)  |  收藏  |  浏览/下载:252/64  |  提交时间:2020/05/07
Seabed Terrain Following Control (STFC)  Seabed Terrain Prediction  Underwater Vehicle Control  UVMS  
A robotic shared control teleoperation method based on learning from demonstrations 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2019, 卷号: 16, 期号: 4, 页码: 1-13
作者:  Xi, Bao;  Wang, Shuo;  Ye, Xuemei;  Cai, Yinghao;  Lu, Tao;  Wang, Rui
Adobe PDF(1796Kb)  |  收藏  |  浏览/下载:403/64  |  提交时间:2019/12/16
Dual arm  hidden semi-Markov model  goal prediction  operation assistance  virtual reality