Reinforcement learningReinforcement learning is a type of machine learning where an agent learns to make decisions by interacting with an environment and receiving rewards or penalties. It aims to maximize cumulative rewards over time by adjusting its actions based on feedback. is a type of machine learningMachine learning is a branch of artificial intelligence that enables computers to learn from data and make predictions or decisions without explicit programming. It involves training algorithms on data to recognize patterns and perform tasks, leading to applications like image recognition and recommendation systems. where an agent learns to make decisions by interacting with an environment and receiving rewards or penalties. It aims to maximize cumulative rewards over time by adjusting its actions based on feedback.