Reinforcement Learning

Reinforcement learning (RL) is a type of machine learning where an agent learns to make decisions by performing actions in an environment that maximized the reward. The learning process involves the agent interacting with the environment, receiving feedback in terms of rewards or penalties, and using this feedback to refine its decision-making process. Gymnasium (formerly known as Gym), developed by OpenAI, is a popular toolkit for developing and comparing reinforcement learning algorithms. It provides a variety of environments ranging from simple toy tasks to complex real-world problems.