Transcription of Reinforcement Learning: An Introduction
{{id}} {{{paragraph}}}
IReinforcement Learning: An IntroductionSecond edition, in progressRichard S. Sutton and Andrew G. Bartoc 2012A Bradford BookThe MIT PressCambridge, MassachusettsLondon, EnglandiiIn memory of A. Harry KlopfContentsPreface ..viiiSeries Forward ..xiiSummary of Notation ..xiiiI The Problem11 Reinforcement learning .. Examples .. Elements of Reinforcement learning .. An Extended Example: Tic-Tac-Toe .. Summary .. History of Reinforcement learning .. Bibliographical Remarks ..232 Bandit Ann-Armed Bandit Problem .. Action-Value Methods .. Softmax Action Selection .. Incremental Implementation.
i Reinforcement Learning: An Introduction Second edition, in progress Richard S. Sutton and Andrew G. Barto c 2012 A Bradford Book The MIT Press Cambridge, Massachusetts
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document:
{{id}} {{{paragraph}}}
190: Reinforcement Learning: An, 190: Reinforcement Learning: An Introduction, Reinforcement learning, Brief Introduction to Reinforcement Learning, REINFORCEMENT LEARNING: AN INTRODUCTION, Introduction, Reinforcement Learning and Control, Learning, Introduction to reinforcement learning, Reinforcement Learning. Richard S. Sutton