Nearly Minimax Optimal Reinforcement Learning for Linear Mixture Markov Decision Processes - researchr publication

researchr

You are not signed in
Sign in
Sign up

Dongruo Zhou, Quanquan Gu, Csaba Szepesvári. Nearly Minimax Optimal Reinforcement Learning for Linear Mixture Markov Decision Processes. In Mikhail Belkin, Samory Kpotufe, editors, Conference on Learning Theory, COLT 2021, 15-19 August 2021, Boulder, Colorado, USA. Volume 134 of Proceedings of Machine Learning Research, pages 4532-4576, PMLR, 2021. [doi]

Abstract is missing.

runs on WebDSL