Satellite fault tolerant attitude control based on expert guided exploration of reinforcement learning agent

IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Hicham Henna, Houari Toubakh, Mohamed Redouane Kafi, Ömer Gürsoy, Moamar Sayed-Mouchaweh, Mohamed Djemai
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引用次数: 0

Abstract

This research provides a method that accelerates learning and avoids local minima to improve the policy gradient algorithm’s learning process. Reinforcement learning has the advantage of not requir...
基于专家指导的强化学习代理探索的卫星容错姿态控制
这项研究提供了一种加速学习和避免局部极小值的方法,以改进策略梯度算法的学习过程。强化学习的优点是不需要...
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来源期刊
CiteScore
6.10
自引率
4.50%
发文量
89
审稿时长
>12 weeks
期刊介绍: Journal of Experimental & Theoretical Artificial Intelligence (JETAI) is a world leading journal dedicated to publishing high quality, rigorously reviewed, original papers in artificial intelligence (AI) research. The journal features work in all subfields of AI research and accepts both theoretical and applied research. Topics covered include, but are not limited to, the following: • cognitive science • games • learning • knowledge representation • memory and neural system modelling • perception • problem-solving
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