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What is Understanding Reinforcement Learning about?

Reinforcement learning is a machine learning method where an agent learns from interactions with an environment by receiving rewards or penalties for actions. The agent aims to maximize rewards by learning which actions work best in different situations. Key aspects include the agent, which perceives and acts in the environment, and the environment itself, which can be unpredictable. Common reinforcement learning approaches are value-based, which learns optimal values for states; policy-based, which directl

Author

Bonolo Dikgwatlhe

Language

EN