Deep Reinforcement Learning in Action

by Brown, Brandon

Type Book
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Deep Reinforcement Learning in Action teaches you how to program AI agents that adapt and improve based on direct feedback from their environment. In this example-rich tutorial, you'll master foundational and advanced DRL techniques by taking on interesting challenges like navigating a maze and playing video games. Along the way, you'll work with core algorithms, including deep Q-networks and policy gradients, along with industry-standard tools like PyTorch and OpenAI Gym.

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Title Statements

  • Full title :Deep Reinforcement Learning in Action / Brown, Brandon.

Summary

Deep Reinforcement Learning in Action teaches you how to program AI agents that adapt and improve based on direct feedback from their environment. In this example-rich tutorial, you'll master foundational and advanced DRL techniques by taking on interesting challenges like navigating a maze and playing video games. Along the way, you'll work with core algorithms, including deep Q-networks and policy gradients, along with industry-standard tools like PyTorch and OpenAI Gym.

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Edition Statements

  • Publication Date:2020.
  • Edition:1st edition

Publication Statements

The Physical Object

  • Description:1 online resource (384 pages)

Edition Identifiers

  • oclc:on1152555562
  • LC Classification:QA9.58
  • Dewey Decimal:518.1

Subjects

Algorithmes ALGORITHMS Apprentissage automatique Apprentissage par renforcement (Intelli… artificial intelligence Computational learning theory Intelligence artificielle Machine learning Reinforcement learning Théorie de l'apprentissage informatique

Writers

Brown, Brandon Zai, Alexander

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