Policy Derivation Methods for Critic-Only Reinforcement Learning in Continuous Action Spaces-Reference-Cited by-同舟云学术

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Policy Derivation Methods for Critic-Only Reinforcement Learning in Continuous Action Spaces

Published:2016 Issue:5 Volume:49 Page:285-290
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

Alibekov Eduard,Kubalik Jiri,Babuska Robert

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference14 articles.

1. Neuro-Dynamic Programming;Bertsekas,1996

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

3. Reinforcement Learning and Dynamic Programming Using Function Approximators;Busoniu,2010

4. Cheb-fun Guide;Driscoll,2014

5. Multi-dimensional extensions of the chebyshev polynomials;Hays;Mathematics of Computation,1973

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Knowledge-based reinforcement learning controller with fuzzy-rule network: experimental validation;Neural Computing and Applications;2019-10-03

2. Optimal and Autonomous Control Using Reinforcement Learning: A Survey;IEEE Transactions on Neural Networks and Learning Systems;2018-06

3. Policy derivation methods for critic-only reinforcement learning in continuous spaces;Engineering Applications of Artificial Intelligence;2018-03

4. Optimal Control via Reinforcement Learning with Symbolic Policy Approximation;IFAC-PapersOnLine;2017-07

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