Search Results for author: Matheus Medeiros Centa

Found 1 papers, 0 papers with code

AdaStop: adaptive statistical testing for sound comparisons of Deep RL agents

no code implementations19 Jun 2023 Timothée Mathieu, Riccardo Della Vecchia, Alena Shilova, Matheus Medeiros Centa, Hector Kohler, Odalric-Ambrym Maillard, Philippe Preux

When comparing several RL algorithms, a major question is how many executions must be made and how can we ensure that the results of such a comparison are theoretically sound.

Reinforcement Learning (RL)

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