state-space

A state-space is the set of possible states of a problem or system, used to define situations in AI search and reinforcement learning.

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A state-space is the set of states a problem or system can occupy. In AI search and reinforcement learning, it defines the possible situations and transitions being considered. It differs from an input space, which describes the values permitted as inputs.

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Saylor emphasized giving AI a defined state space—the relevant conditions and possible choices—rather than asking an open-ended question.


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