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