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Reinforcement Learning (RL)

Definition

A machine learning approach where agents learn optimal behavior through trial and error, receiving rewards or penalties for their actions. RL agents discover effective strategies without explicit programming, raising governance questions about learned behaviors.

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This definition is from Agentic AI in Law and Finance, which provides comprehensive treatment with examples and governance guidance.