Abstract
In this paper a new Reinforcement Learning algorithm was proposed. Q learning is a useful algorithm for agent learning in nondeterministic environment but it is a time consuming algorithm. The presented work applies an evolutionary algorithm for improving Reinforcement Learning algorithm. © 2010 Springer-Verlag.
Cite
CITATION STYLE
APA
Beigi, A., Parvin, H., Mozayani, N., & Minaei, B. (2010). Improving reinforcement learning agents using genetic algorithms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6335 LNCS, pp. 330–337). https://doi.org/10.1007/978-3-642-15470-6_34
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