Transcription of Reinforcement Learning: An Introduction
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Reinforcement Learning: An Introduction
IReinforcement Learning: An IntroductionSecond edition, in progressRichard S. Sutton and Andrew G. Bartoc 2014, 2015A Bradford BookThe MIT PressCambridge, MassachusettsLondon, EnglandiiIn memory of A. Harry KlopfContentsPreface ..viiiSeries Forward ..xiiSummary of Notation ..xiii1 The Reinforcement learning Reinforcement learning .. Examples .. Elements of Reinforcement learning .. Limitations and Scope .. An Extended Example: Tic-Tac-Toe .. Summary .. History of Reinforcement learning .. Bibliographical Remarks ..25I Tabular Solution Methods272 Multi-arm Ann-Armed Bandit Problem .. Action-Value Methods .. Incremental Implementation .. Tracking a Nonstationary Problem.
forcement learning in biology and applications. This book was designed to be used as a text in a one- or two-semester course, perhaps supplemented by readings from the literature or by a more mathematical text such as Bertsekas and Tsitsiklis (1996) or Szepesvari (2010). ... xii + >> i> The Reinforcement Learning
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