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arXiv stat.ML · Papers

Model-based Bootstrap of Controlled Markov Chains

arXiv:2605.12410v2 Announce Type: replace Abstract: We propose and analyze a model-based bootstrap for transition kernels in finite controlled Markov chains (CMCs) with possibly nonstationary or history-dependent control policies, a setting that arises naturally in offline reinforcement learning (RL) when the behavior