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Vocabulary

Understand the term. Connect the concept.

A practical dictionary of 512 AI, machine learning, mathematics, and programming terms from HerbDev’s AI Vocabulary app. Start with a definition, explore an example, then follow the concepts behind it.

Linked concepts open in a new tab. Audio reads the definition and example.

Policy

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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This helps you separate what an agent observes, chooses, and optimizes.

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Put the terminology into context: How AI works · Machine-native representations · All learning paths

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