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NeurIPS 2026AmazonAmazon RoboticsDukeOffline RL

A$^2$IQL: Adaptive Asymmetric Implicit Q Learning for Automated Warehouse Consolidation

Guangyi Liu, Andrea Angiuli, Mirko Ristivojevic, Joseph W Durham and 2 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · 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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