Residual Sarsa algorithm with function approximation

In this work, we proposed an efficient algorithm named the residual Sarsa algorithm with function approximation (FARS) to improve the performance of the traditional Sarsa algorithm, and we use the gradient-descent method to update the function parameter vector. In the learning process, the Bellman r...

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Bibliographic Details
Published in:	Cluster computing Vol. 22; no. Suppl 1; pp. 795 - 807
Main Authors:	Qiming, Fu, Wen, Hu, Quan, Liu, Heng, Luo, Lingyao, Hu, Jianping, Chen
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.01.2019 Springer Nature B.V
Subjects:	Algorithms Approximation Computer Communication Networks Computer Science Convergence Distance learning Fuzzy logic Machine learning Mathematical analysis Operating Systems Performance enhancement Processor Architectures Sarsa algorithm Gradient descent Function approximation Bellman residual Reinforcement learning
ISSN:	1386-7857, 1573-7543
Online Access:	Get full text
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