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sample efficiency

noun \ˈsam-pəl i-ˈfi-shən-sē\

also sample-efficient learning or data efficiency

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Definition of sample efficiency

  1. : the amount of useful learning or task performance an AI system gains from each training example, observation, or interaction, with greater sample efficiency meaning that fewer samples are needed to reach a given level of performance

    • Sample efficiency matters in robotics because every failed physical attempt costs real time and can damage equipment.
    • The model-based agent learned the control task with fewer interactions and therefore had better sample efficiency.

Two meanings, one word

In everyday English

Efficiency is the ability to produce a result while wasting as little of a resource as possible.

In AI

The amount of useful learning or task performance an AI system gains from each training example, observation, or interaction, with greater sample efficiency meaning that…

Origin & history

Sample efficiency grew from statistical learning and reinforcement learning, where researchers compare how much data or environmental experience different methods require to reach a target performance level. The issue is especially important when samples are expensive, slow, risky, or impossible to simulate accurately.

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Cite this entry

"Sample efficiency." AI Dictionary, Dadgogo, https://dadgogo.com/dictionary/sample-efficiency/. Accessed 12 Oct. 2026.

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