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Deep Reinforcement Learning in Action

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...

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Bibliographic Details
Main Authors: Brown, Brandon, Zai, Alexander (Author)
Format: eBook
Language:English
Published: Manning Publications 2020
Edition:1st edition
Subjects:
Algorithms
Algorithms / Fast
Machine Learning / Http://id.loc.gov/authorities/subjects/sh85079324
Artificial Intelligence / Fast
Algorithms / Http://id.loc.gov/authorities/subjects/sh85003487
Artificial Intelligence / Http://id.loc.gov/authorities/subjects/sh85008180
Artificial Intelligence
Algorithmes
Computational Learning Theory / Http://id.loc.gov/authorities/subjects/sh94004662
Reinforcement Learning / Fast
Intelligence Artificielle
Algorithms / Aat
Machine Learning / Fast
Apprentissage Par Renforcement (intelligence Artificielle)
Apprentissage Automatique
Artificial Intelligence / Aat
Théorie De L'apprentissage Informatique
Computational Learning Theory / Fast
Reinforcement Learning / Http://id.loc.gov/authorities/subjects/sh92000704
Machine Learning
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
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
Item Description:Made available through: Safari, an O'Reilly Media Company
Physical Description:384 pages
ISBN:9781617295430

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