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ORCID"Optimistic Posterior Sampling for Reinforcement Learning with Few Samples ..."
Daniil Tiapkin et al. (2022)
- Daniil Tiapkin, Denis Belomestny, Daniele Calandriello, Eric Moulines, Rémi Munos, Alexey Naumov, Mark Rowland, Michal Valko, Pierre Ménard:
Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees. CoRR abs/2209.14414 (2022)
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