Reinforcement Learning · Level 3 of 5
Policy
A rule or distribution for selecting actions from available information.
A policy can be deterministic or stochastic.
Example
An agent maps its current observation to probabilities over possible moves.
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Audio transcript
Policy. A rule or distribution for selecting actions from available information. A policy can be deterministic or stochastic. For example: An agent maps its current observation to probabilities over possible moves.
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Why it matters
This helps you separate what an agent observes, chooses, and optimizes.
Quick recall question
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