Reinforcement Learning

Learning through interaction and rewards

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1 Article in Reinforcement Learning

Reinforcement Learning

What is Reinforcement Learning?

Reinforcement learning is a type of machine learning where an agent learns to make decisions by receiving rewards or penalties for its actions. Through repeated trial and error, the system gradually discovers which sequences of choices lead to the highest cumulative reward, refining its behavior over time.

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