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Cover of Deep Reinforcement Learning Hands-On A Practical and Easy-To-Follow Guide to RL from Q-Learning and DQNs to PPO and RLHF
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Deep Reinforcement Learning Hands-On A Practical and Easy-To-Follow Guide to RL from Q-Learning and DQNs to PPO and RLHF

by Maxim Lapan

8.34 / 10 46 ratings
Language
English
Published
2024
Publisher
Packt Publishing, Limited
Pages
235
ISBN
9781835882702

Subjects

  • Computers & Technology
  • Programming
  • Professional, Career & Trade
  • Programming Languages
  • Python
  • Computer Science
  • AI & Machine Learning
  • Computers
  • Artificial intelligence
  • Natural Language Processing
  • Algorithms
  • Cybernetics
  • Languages

Original edition

Deep Reinforcement Learning Hands-On Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
Originally published in 2018 English Packt Publishing Ltd

Other editions (3)

  • Deep Reinforcement Learning Hands-on Apply Modern RL Methods to Practical Problems of Chatbots, Robotics, Discrete Optimization, Web Automation, and More
  • Deep Reinforcement Learning Hands-On
  • 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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