Reinforcement learning (RL) is very different from both supervised and unsupervised learning. It's the way most living beings learn—interacting with the environment. In this chapter, we'll study different algorithms employed for RL. As you progress through the chapter, you'll do the following:
- Learn what RL is and how it's different from supervised learning and unsupervised learning
- Lear different elements of RL
- Learn about some fascinating applications of RL in the real world
- Understand the OpenAI interface for training RL agents
- Learn about Q-learning and use it to train an RL agent
- Learn about Deep Q-Networks and employ them to train an agent to play Atari
- Learn about the policy gradient algorithm and use it to
