Robust average-reward Markov decision processes: minimax-optimal learning via plug-in reductions
Read the original at arxiv.org→arXiv:2608.06545v1 Announce Type: new Abstract: Distributionally robust Markov decision processes provide a principled framework for sequential decision making under model uncertainty. We study how many samples are...
Original headline: "Robust Average-Reward Markov Decision Processes: Minimax-Optimal Learning via Plug-in Reductions"
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- Aug 10, 04:00 UTC arXiv cs.LG lead source Robust Average-Reward Markov Decision Processes: Minimax-Optimal Learning via Plug-in Reductions