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Adaptive Representations for Reinforcement Learning|Shimon Whiteson

Adaptive Representations for Reinforcement Learning

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Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9783642422317
  • ISBN-10: 3642422314
  • Publisher: Springer
  • Publish Date: November 2014
  • Dimensions: 9.21 x 6.14 x 0.28 inches
  • Shipping Weight: 0.43 pounds
  • Page Count: 116

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