Table of Contents
- Deep Learning for Games
- Convolutional and Recurrent Networks
- GAN for Games
- Building a Deep Learning Gaming Chatbot
- Introducing DRL
- Unity ML-Agents
- Agent and the Environment
- Understanding PPO
- Rewards and Reinforcement Learning
- Imitation and Transfer Learning
- Building Multi-Agent Environments
- Debugging/Testing a Game with DRL
- Obstacle Tower Challenge and Beyond

