Reinforcement Learning
Reinforcement learning is a type of machine learning where an agent learns to make decisions in an environment by maximizing a cumulative reward signal. It’s inspired by the way humans and animals learn through trial-and-error and feedback from their environment. In reinforcement learning, an agent interacts with an environment by taking actions and receiving feedback …
