BibTeX record conf/icml/KitamuraKTVVYMM23

download as .bib file

@inproceedings{DBLP:conf/icml/KitamuraKTVVYMM23,
  author       = {Toshinori Kitamura and
                  Tadashi Kozuno and
                  Yunhao Tang and
                  Nino Vieillard and
                  Michal Valko and
                  Wenhao Yang and
                  Jincheng Mei and
                  Pierre M{\'{e}}nard and
                  Mohammad Gheshlaghi Azar and
                  R{\'{e}}mi Munos and
                  Olivier Pietquin and
                  Matthieu Geist and
                  Csaba Szepesv{\'{a}}ri and
                  Wataru Kumagai and
                  Yutaka Matsuo},
  editor       = {Andreas Krause and
                  Emma Brunskill and
                  Kyunghyun Cho and
                  Barbara Engelhardt and
                  Sivan Sabato and
                  Jonathan Scarlett},
  title        = {Regularization and Variance-Weighted Regression Achieves Minimax Optimality
                  in Linear MDPs: Theory and Practice},
  booktitle    = {International Conference on Machine Learning, {ICML} 2023, 23-29 July
                  2023, Honolulu, Hawaii, {USA}},
  series       = {Proceedings of Machine Learning Research},
  volume       = {202},
  pages        = {17135--17175},
  publisher    = {{PMLR}},
  year         = {2023},
  url          = {https://proceedings.mlr.press/v202/kitamura23a.html},
  timestamp    = {Mon, 28 Aug 2023 17:23:08 +0200},
  biburl       = {https://dblp.org/rec/conf/icml/KitamuraKTVVYMM23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
a service of  Schloss Dagstuhl - Leibniz Center for Informatics