Abstract
This monograph focuses on transfer learning in reinforcement learning domains; some RL background is necessary. Our goal in this chapter is to briefly discuss RL concepts and notation used in this monograph so that the reader may understand later TL algorithms and experiments.Readers who desire a more comprehensive treatment of the reinforcement learning framework are referred to [Kaelbling et al. (1996)] and [Sutton and Barto (1998)].
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© 2009 Springer-Verlag Berlin Heidelberg
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Taylor, M.E. (2009). Reinforcement Learning Background. In: Transfer in Reinforcement Learning Domains. Studies in Computational Intelligence, vol 216. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01882-4_2
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DOI: https://doi.org/10.1007/978-3-642-01882-4_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01881-7
Online ISBN: 978-3-642-01882-4
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