arXiv Machine Learning By Yuepeng Yang, Yuxin Chen, Yuejie Chi

Robust Average-Reward Markov Decision Processes: Minimax-Optimal Learning via Plug-in Reductions

Read the original on arXiv Machine Learning →

arXiv:2608. 06545v1 Announce Type: new Abstract: Distributionally robust Markov decision processes provide a principled framework for sequential decision making under model uncertainty.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.