The Science Behind Teaching Machines to Learn by Themselves

Reinforcement Learning (RL) is a branch of machine learning that teaches computer agents how to achieve a goal in a complex, uncertain environment. In Reinforcement Learning, the agent learns from interactions with the environment, without being explicitly programmed. The agent explores the environment, takes actions, and observes the results to determine the optimal behavior.

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