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Adaptive Critic Designs for Optimal Event-Driven Control of a CSTR System
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 卷号: 17, 期号: 1, 页码: 484-493
Authors:
Yang, Xiong
;
Wei, Qinglai
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View/Download:5/0
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Submit date:2021/01/06
Chemical reactors
Optimal control
Nonlinear systems
Adaptive systems
Cost function
Informatics
Closed loop systems
Adaptive critic designs (ACDs)
continuous stirred tank reactor (CSTR)
discounted cost
event-driven control
reinforcement learning (RL)
智能机器人共享控制与操作技能学习方法研究
学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2020
Authors:
席宝
Adobe PDF(9051Kb)
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View/Download:45/6
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Submit date:2021/02/01
位姿检测
共享控制
强化学习
策略梯度
示教引导
基于模仿的机器人操作技能学习技术研究
学位论文
工程硕士, 中国科学院自动化研究所: 中国科学院大学, 2020
Authors:
李博遥
Adobe PDF(6247Kb)
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View/Download:90/4
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Submit date:2020/08/27
机器人学习
模仿学习
深度强化学习
好奇心驱动探索
分层机制
ACDER: Augmented Curiosity-Driven Experience Replay
会议论文
, Paris, France, 2020.05.31-2020.08.31
Authors:
Li, Boyao
;
Lu, Tao
;
Li, Jiayi
;
Lu, Ning
;
Cai, Yinghao
;
Wang, Shuo
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Adobe PDF(3303Kb)
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View/Download:85/30
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Submit date:2020/08/27
Encoding Primitives Generation Policy Learning for Robotic Arm to Overcome Catastrophic Forgetting in Sequential Multi-tasks Learning
期刊论文
Neural Networks, 2020, 期号: 2020.06.003, 页码: 12
Authors:
Xiong, Fangzhou
;
Liu, Zhiyong
;
Huang, Kaizhu
;
Yang, Xu
;
Qiao, Hong
;
Amir Hussain
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Adobe PDF(646Kb)
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View/Download:46/1
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Submit date:2020/06/09
Sequential multi-tasks learning, Continual learning, Catastrophic forgetting, Robotics
Deep Reinforcement Learning-Based Automatic Exploration for Navigation in Unknown Environment
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 6, 页码: 2064-2076
Authors:
Li, Haoran
;
Zhang, Qichao
;
Zhao, Dongbin
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Adobe PDF(4274Kb)
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View/Download:35/9
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Submit date:2020/08/03
Robot sensing systems
Navigation
Entropy
Neural networks
Task analysis
Planning
Automatic exploration
deep reinforcement learning (DRL)
optimal decision
partial observation
基于深度强化学习与力封闭融合的三指手机器人抓取方法研究
学位论文
工程硕士, 中国科学院自动化研究所: 中国科学院大学, 2020
Authors:
刘永乐
Adobe PDF(12619Kb)
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View/Download:76/3
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Submit date:2020/06/18
机器人抓取
深度强化学习
力封闭
域随机化
面向过盈配合微器件的机器人装配技能学习及其应用
学位论文
, 中科院自动化所: 中国科学院大学, 2020
Authors:
马燕芹
Adobe PDF(5940Kb)
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View/Download:86/8
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Submit date:2020/06/11
精密装配
视觉测量
图像伺服控制
装配控制
强化学习
演示学习
装配技能学习
基于混合更新Q值的深度强化学习方法研究
学位论文
工程硕士, 中国科学院自动化研究所: 中国科学院大学, 2020
Authors:
李主南
Adobe PDF(3839Kb)
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View/Download:63/2
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Submit date:2020/06/10
深度强化学习
Q 学习算法
过估计
欠估计
Actor-Critic
凸组合
混合更新
机器人持续性策略学习算法研究
学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2020
Authors:
熊方舟
Adobe PDF(3642Kb)
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View/Download:93/5
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Submit date:2020/06/09
持续学习
策略学习
机器人
灾难性遗忘
状态基元