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Springer Adaptive Representations for Reinforcement Learning: 291 (Studies in Computational Intelligence, 291)

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Description

Presenting the main results of new algorithms for reinforcement learning, this book also introduces a novel method for devising input representations as well as presenting a way to find a minimal set of features sufficient to describe the agent’s current state.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
14 November 2014
Listed Since
15 November 2014

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