Reinforcement Learning

Reinforcement learning is a method of machine learning in which an agent learns to perform optimal actions by interacting with its environment. The agent receives rewards or punishments for its actions and adapts its behaviour accordingly to maximize the overall reward. This technique has proven to be particularly effective in areas such as robotics, game strategies and autonomous systems.