This chapter introduces reinforcement learning (RL)—the least explored and yet most promising learning paradigm. The chapter includes the following topics:
- Learning OpenAI Gym
- Implementing neural network agent to play Pac-Man
- Q learning to balance Cart-Pole
- Game of Atari using Deep Q Networks
- Policy gradients to play the game of Pong