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Exact Fast Batch Simulation for Tabular Reinforcement Learning

arXiv:2610.04746v1 Announce Type: new Abstract: Simulation is a fundamental computational primitive in reinforcement learning (RL), yet conventional simulation explicitly generates individual trajectories even when downstream procedures use only aggregate statistics. To address this, we develop an…

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  1. 2026-10-06 04:00 · arXiv stat.ML
    Exact Fast Batch Simulation for Tabular Reinforcement Learning

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