Hands-On Deep Learning for Games
Leverage the power of neural networks and reinforcement learning to build intelligent games
BIRMINGHAM - MUMBAI
- Title Page
- Copyright and Credits
- Dedication
- About Packt
- Contributors
- Preface
- Section 1: The Basics
- Deep Learning for Games
- Convolutional and Recurrent Networks
- GAN for Games
- Building a Deep Learning Gaming Chatbot
- Section 2: Deep Reinforcement Learning
- Introducing DRL
- Unity ML-Agents
- Agent and the Environment
- Understanding PPO
- Rewards and Reinforcement Learning
- Imitation and Transfer Learning
- Building Multi-Agent Environments
- Section 3: Building Games
- Debugging/Testing a Game with DRL
- Obstacle Tower Challenge and Beyond
- Other Books You May Enjoy
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