Q-learning is a type of reinforcement learning algorithm that teaches agents how to act in a given environment to maximise rewards over time. It uses a simple but powerful idea: learn from experience ...

Reinforcement learning is a subfield of machine learning concerned with how an intelligent agent can learn through trial and error to make optimal decisions in its ...