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Inverse Reinforcement Learning with Just Classification and a Few Regressions

GenPQR reduces inverse reinforcement learning to policy estimation via classification followed by Q-function regression, yielding modular finite-sample guarantees and improved reward recovery across continuous action spaces.

Lars van der Laan, Nathan Kallus, Aurelien Bibaut

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 11 of 20 reviewers recommend it
lenient 3/5
medium 6/10
strict 2/5