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Books Books 1 - 10 of about 18 related to Reinforcement Learning: An Introduction.   

Reinforcement Learning, Issues 3-4

Richard S. Sutton - Computers - 1992 - 171 pages
Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total ...
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Reinforcement Learning: State-of-the-Art

Marco Wiering, Martijn van Otterlo - Computers - 2012 - 638 pages
Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal ...
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Neural Networks for Control

W. Thomas Miller, Paul J. Werbos, Richard S. Sutton - Computers - 1995 - 524 pages
Neural Networks for Control highlights key issues in learning control and identifies research directions that could lead to practical solutions for control problems in critical ...
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Algorithms for Reinforcement Learning

Csaba Szepesvari - Technology & Engineering - 2010 - 103 pages
Reinforcement learning is a learning paradigm concerned with learning to control a system so as to maximize a numerical performance measure that expresses a long-term objective ...
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Adaptive Representations for Reinforcement Learning

Simon Whiteson - Computers - 2010 - 116 pages
This book presents new algorithms for reinforcement learning, a form of machine learning in which an autonomous agent seeks a control policy for a sequential decision task ...
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Transfer in Reinforcement Learning Domains

Matthew Taylor - Computers - 2009 - 230 pages
In reinforcement learning (RL) problems, learning agents sequentially execute actions with the goal of maximizing a reward signal. The RL framework has gained popularity with ...
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