ReplacingRewardswithExamples: Example-Based PolicySearchviaRecursiveClassification

Feb-8-2026, 23:14:52 GMT–Neural Information Processing Systems

Forexample,theusercouldsolvethe task using actions unavailable to the agent (e.g., the user may have two arms, but a robotic agent mayhaveonlyone) ortheusercould findsuccess examples bysearching theinternet.

artificial intelligence, machine learning, reinforcement learning, (16 more...)

Neural Information Processing Systems

Feb-8-2026, 23:14:52 GMT

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Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification

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