Abstract
Learning automaton (LA) is an effective decision making agent, especially within unknown stochastic environments. This book aims at collecting recent theoretical advancements as well as applied experiences of LAs in different research areas of the computer science discipline.
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© 2018 Springer International Publishing AG
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Rezvanian, A., Saghiri, A.M., Vahidipour, S.M., Esnaashari, M., Meybodi, M.R. (2018). Summary and Future Directions. In: Recent Advances in Learning Automata. Studies in Computational Intelligence, vol 754. Springer, Cham. https://doi.org/10.1007/978-3-319-72428-7_7
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DOI: https://doi.org/10.1007/978-3-319-72428-7_7
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-72427-0
Online ISBN: 978-3-319-72428-7
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