Robust reinforcement learning control

被引：0

作者：

Kretchmar, RM ^{[1
]}

Young, PM ^{[1
]}

Anderson, CW ^{[1
]}

Hittle, DC ^{[1
]}

Anderson, ML ^{[1
]}

Tu, J ^{[1
]}

Delnero, CC ^{[1
]}

机构：

[1] Denison Univ, Dept Math & Comp Sci, Granville, OH 43023 USA

来源：

PROCEEDINGS OF THE 2001 AMERICAN CONTROL CONFERENCE, VOLS 1-6 | 2001年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Robust control theory is used to design stable controllers in the presence of uncertainties. By replacing nonlinear and time-varying aspects of a neural network with uncertainties, a robust reinforcement learning procedure results that is guaranteed to remain stable even as the neural network is being trained. The behavior of this procedure is demonstrated and analyzed on a simple control task. Reinforcement learning with and without robust constraints results in the same control performance, but at intermediate stages the system without robust constraints may go through a period of unstable behavior that is avoided when the robust constraints are included.

引用

页码：902 / 907

页数：6

共 50 条

[1] Robust Deep Reinforcement Learning for Quadcopter Control
Deshpande, Aditya M.
Minai, Ali A.
Kumar, Manish
[J]. IFAC PAPERSONLINE, 2021, 54 (20): : 90 - 95
[2] The driver and the engineer: Reinforcement learning and robust control
Bernat, Natalie
Chen, Jiexin
Matni, Nikolai
Doyle, John
[J]. 2020 AMERICAN CONTROL CONFERENCE (ACC), 2020, : 3932 - 3939
[3] Active Reinforcement Learning for Robust Building Control
Jang, Doseok
Yan, Larry
Spangher, Lucas
Spanos, Costas J.
[J]. THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 20, 2024, : 22150 - 22158
[4] Risk-sensitive Reinforcement Learning and Robust Learning for Control
Noorani, Erfaun
Baras, John S.
[J]. 2021 60TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2021, : 2976 - 2981
[5] Reinforcement Learning and Robust Control for Robot Compliance Tasks
Cheng-Peng Kuan
Kuu-young Young
[J]. Journal of Intelligent and Robotic Systems, 1998, 23 : 165 - 182
[6] Robust Deep Reinforcement Learning for Traffic Signal Control
Kai Liang Tan
Anuj Sharma
Soumik Sarkar
[J]. Journal of Big Data Analytics in Transportation, 2020, 2 (3): : 263 - 274
[7] Reinforcement learning and robust control for robot compliance tasks
Kuan, CP
Young, KY
[J]. JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 1998, 23 (2-4) : 165 - 182
[8] Robust reinforcement learning control with static and dynamic stability
Kretchmar, RM
Young, PM
Anderson, CW
Hittle, DC
Anderson, ML
Delnero, CC
[J]. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2001, 11 (15) : 1469 - 1500
[9] Action Robust Reinforcement Learning and Applications in Continuous Control
Tessler, Chen
Efroni, Yonathan
Mannor, Shie
[J]. INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 97, 2019, 97
[10] Robust reinforcement learning
Morimoto, J
Doya, K
[J]. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 13, 2001, 13 : 1061 - 1067

← 1 2 3 4 5 →