Daniil Tiapkin, Denis Belomestny, Eric Moulines, Alexey Naumov, Sergey Samsonov, Yunhao Tang, Michal Valko, Pierre Ménard. From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses. In Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu 0001, Sivan Sabato, editors, International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. Volume 162 of Proceedings of Machine Learning Research, pages 21380-21431, PMLR, 2022. [doi]
@inproceedings{TiapkinBMNSTVM22,
title = {From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses},
author = {Daniil Tiapkin and Denis Belomestny and Eric Moulines and Alexey Naumov and Sergey Samsonov and Yunhao Tang and Michal Valko and Pierre Ménard},
year = {2022},
url = {https://proceedings.mlr.press/v162/tiapkin22a.html},
researchr = {https://researchr.org/publication/TiapkinBMNSTVM22},
cites = {0},
citedby = {0},
pages = {21380-21431},
booktitle = {International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA},
editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesvári and Gang Niu 0001 and Sivan Sabato},
volume = {162},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}