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Hands-On Deep Learning for Games Cover

Hands-On Deep Learning for Games

Leverage the power of neural networks and reinforcement learning to build intelligent games

Publisher:Packt Publishing Limited
By: Micheal Lanham  
Paid access
|Apr 2019
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Table of Contents

  1. Deep Learning for Games
  2. Convolutional and Recurrent Networks
  3. GAN for Games
  4. Building a Deep Learning Gaming Chatbot
  5. Introducing DRL
  6. Unity ML-Agents
  7. Agent and the Environment
  8. Understanding PPO
  9. Rewards and Reinforcement Learning
  10. Imitation and Transfer Learning
  11. Building Multi-Agent Environments
  12. Debugging/Testing a Game with DRL
  13. Obstacle Tower Challenge and Beyond
PDF ISBN: 978-1-78899-876-5
Publisher: Packt Publishing Limited
Copyright owner: © 2019 Packt Publishing Limited
Publication date: 2019
Language: English
Pages: 392
Related subjects:
Computer sciences,
Artificial intelligence

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