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Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees.

D. Tiapkin, D. Belomestny, D. Calandriello, E. Moulines, R. Munos, A. Naumov, M. Rowland, M. Valko, и P. Ménard. NeurIPS, (2022)

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Daniele Calandriello

Daniele Palmisano

Daniele Soroldoni

Daniele Silvestro

Daniele Pillitteri

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