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Showing papers from Boston University / Broad Institute of MIT and Harvard Show all papers

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NeurIPS 2026BostonBoston University / Broad InstitDeep RL

Learning to Undo: Transfer Reinforcement Learning under State Space Transformations

Mridul Mahajan, Aldo Pacchiano, Xuezhou Zhang

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026Imperial College LondonAmazon RoboticsBoston University / Broad InstitExploration

Non-Asymptotic Best Policy Identification Guarantees in Online Reinforcement Learning

Navigate and Stop achieves first non-asymptotic best-policy identification guarantees in online tabular reinforcement learning, with sample complexity depending on MDP connectivity, characteristic-time curvature, and instance-dependent quantities.

Joseph Lazzaro, Alessio Russo, Aldo Pacchiano

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 6 of 20 reviewers recommend it
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strict 1/5