Optimal Control via Reinforcement Learning with Symbolic Policy Approximation-Reference-Cited by-同舟云学术

Optimal Control via Reinforcement Learning with Symbolic Policy Approximation

Published:2017-07 Issue:1 Volume:50 Page:4162-4167
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

Kubalík Jiří,Alibekov Eduard,Babuška Robert

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference26 articles.

1. Policy derivation methods for critic-only reinforcement learning in continuous action spaces. In Proceedings 4th IFAC Conference on Intelligent Control and Automation Sciences (ICONS), 285–290;Alibekov,2016

2. Symbolic method for deriving policy in reinforcement learning. In Decision and Control (CDC), 2016 IEEE 55th Conference on, 2789–2795;Alibekov,2016

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5. Approximate dynamic programming with a fuzzy parameterization;Buşoniu;Automatica,2010

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