Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice.

Toshinori Kitamura Tadashi Kozuno Yunhao Tang Nino Vieillard Michal Valko Wenhao Yang Jincheng Mei Pierre Ménard Mohammad Gheshlaghi Azar Rémi Munos Olivier Pietquin Matthieu Geist Csaba Szepesvári Wataru Kumagai Yutaka Matsuo Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice. 17135-17175 2023 ICML https://proceedings.mlr.press/v202/kitamura23a.html conf/icml/2023 db/conf/icml/icml2023.html#KitamuraKTVVYMM23