Policy: Revision history

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18 March 2023

  • curprev 21:5521:55, 18 March 2023‎ Walle talk contribs‎ 3,253 bytes +3,253‎ Created page with "{{see also|Machine learning terms}} ==Policy in Machine Learning== In the field of machine learning, a policy refers to a decision-making function that maps a given state or input to an action or output. A policy is often denoted by the symbol π (pi) and is central to the process of learning and decision-making in various machine learning algorithms, particularly in the realm of reinforcement learning. ===Reinforcement Learning and Policies=== Reinforcement lea..."
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