Sergey Samsonov, Daniil Tiapkin, Alexey Naumov, Eric Moulines, “Improved high-probability bounds for the temporal difference learning algorithm via exponential stability”, Proceedings of Machine Learning Research (PMLR), 2024, Volume 247, Pages 4511–4547

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Proceedings of Machine Learning Research (PMLR), 2024, Volume 247, Pages 4511–4547 (Mi pmlr3)

Improved high-probability bounds for the temporal difference learning algorithm via exponential stability

Sergey Samsonov^a, Daniil Tiapkin^bc, Alexey Naumov^ad, Eric Moulines^b

^a HSE University, Moscow, Russia
^b Centre de Mathématiques Appliquées – CNRS – École polytechnique – Institut Polytechnique de Paris, France
^c Université Paris-Saclay, CNRS, Laboratoire de mathématiques d'Orsay, France
^d Steklov Mathematical Institute of Russian Academy of Sciences, Moscow, Russia

URL: https://proceedings.mlr.press/v247/samsonov24a.html

Funding agency	Grant number
HSE Basic Research Program
Domain of Major Interest	DIM AI4IDF
European Research Council	ERC-2022-SYG-OCEAN-101071601
Lagrange Mathematics and Computing Research Center
The work of Sergey Samsonov and Alexey Naumov was prepared within the framework of the HSE University Basic Research Program. The work of D. Tiapkin has been supported by the Paris Îlede-France Région in the framework of DIM AI4IDF. The work by Eric Moulines is partially funded by the European Union (ERC-2022-SYG-OCEAN-101071601). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council Executive Agency. Neither the European Union nor the granting authority can be held responsible for them. This work was partially conducted under the auspices of the Lagrange Mathematics and Computing Research Center.

Document Type: Article

Language: English

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