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Hands-On Reinforcement Learning for Games Cover

Hands-On Reinforcement Learning for Games

Implementing self-learning agents in games using artificial intelligence techniques

Publisher:Packt Publishing Limited
By: Micheal Lanham  
Paid access
|Sep 2024
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Table of Contents

  1. Understanding Rewards-Based Learning
  2. Dynamic Programming and the Bellman Equation
  3. Monte Carlo Methods
  4. Temporal Difference Learning
  5. Exploring SARSA
  6. Going Deep with DQN
  7. Going Deeper with DDQN
  8. Policy Gradient Methods
  9. Optimizing for Continuous Control
  10. All about Rainbow DQN
  11. Exploiting ML-Agents
  12. DRL Frameworks
  13. 3D Worlds
  14. From DRL to AGI
PDF ISBN: 978-1-83921-677-0
Publisher: Packt Publishing Limited
Copyright owner: © 2020 Packt Publishing Limited
Publication date: 2024
Language: English
Pages: 432
Related subjects:
Computer sciences,
Computer sciences, other

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