Introduction To Reinforcement Learning

Reinforcement Learning (RL) is a subset of machine learning that focuses on how agents should take actions in an environment to maximize cumulative rewards. Unlike supervised learning, where the model is trained on a set of labeled data, reinforcement learning involves training an agent through interactions with its environment. This approach is inspired by behavioral…