Introduction to Reinforcement Learning and Agent-Environment Interaction

This chapter delves into the basics of reinforcement learning, highlighting how an algorithm interacts with an environment to learn from rewards and state information. It uses playing Atari video games as an example to illustrate the learning process of an agent in maximizing rewards.