Table of Contents

Part I

  1. Introducing Reinforcement Learning
  2. Playing Monopoly and Markov Decision Process
  3. Training in Gym
  4. Struggling With Multi-Armed Bandits
  5. Blackjack in Monte Carlo
  6. Escaping Maze With Q-Learning
  7. Discretization 

Part II. Deep Reinforcement Learning

  1. TensorFlow, PyTorch, and Your First Neural Network
  2. Deep Q-Network and Lunar Lander
  3. Defending Atlantis With Double Deep Q-Network
  4. From Q-Learning to Policy-Gradient 
  5. Stock Trading With Actor-Critic
  6. What Is Next?