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.

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State

Reinforcement Learning · Level 1 of 5

State

Information representing the environment at a decision point.

A Markov state contains enough information for the modeled future dynamics.

Example

A board configuration specifies the current game situation.

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Audio transcript

State. Information representing the environment at a decision point. A Markov state contains enough information for the modeled future dynamics. For example: A board configuration specifies the current game situation.

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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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