Reinforcement Learning

Reinforcement learning is a machine learning approach where AI systems learn to make decisions by receiving rewards or penalties for their actions in an environment, rather than from labeled training data. In enterprise AI governance, reinforcement learning presents unique compliance and safety challenges because these systems can develop unexpected behaviors through trial-and-error learning that may not align with organizational values or regulatory requirements. Organizations deploying reinforcement learning must establish monitoring frameworks and guardrails to ensure the learned policies remain interpretable, controllable, and compliant with relevant regulations.

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