An edition of Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more (2018)

Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

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Cover of: Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more by Maxim Lapan
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Last edited by MARC Bot
December 18, 2022 | History
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An edition of Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more (2018)

Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

by

  • 0 Ratings
  • 2 Want to read
  • 0 Currently reading
  • 0 Have read

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Publish Date
Publisher
Packt Publishing
Pages
546

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Subjects
Machine learning, Reinforcement learning, Natural language processing (Computer science), Artificial intelligence, Natural Language Processing, Artificial Intelligence, Apprentissage par renforcement (Intelligence artificielle), Apprentissage automatique, Traitement automatique des langues naturelles, Intelligence artificielle, COMPUTERS, General

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Cover of: Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
Jun 21, 2018, Packt Publishing
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Book Details

Classifications

Library of Congress
Q325.5

ID Numbers

Open Library
OL26833401M
ISBN 10
1788834240
ISBN 13
9781788834247
OCLC/WorldCat
1046682461

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marc_columbia MARC record

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December 18, 2022 Edited by MARC Bot import existing book
September 21, 2021 Edited by ImportBot import existing book
April 5, 2019 Created by ImportBot import new book