23 citations · 27 across the 4 of their papers we have counts for
Showing stat.MLShow all
3 papers · 1 filter
stat.ML2026
Middle-mile logistics through the lens of goal-conditioned reinforcement learning
Onno Eberhard, Thibaut Cuvelier, Michal Valko +1
Middle-mile logistics describes the problem of routing parcels through a network of hubs linked by trucks with finite capacity. We rephrase this as a multi-object goal-conditioned…
stat.ML2021★ 2 cited
Asymptotically Optimal Strategies For Combinatorial Semi-Bandits in Polynomial Time
Thibaut Cuvelier, Richard Combes, Eric Gourdin
We consider combinatorial semi-bandits with uncorrelated Gaussian rewards. In this article, we propose the first method, to the best of our knowledge, that enables to compute the s…
stat.ML2020
Statistically Efficient, Polynomial Time Algorithms for Combinatorial Semi Bandits
Thibaut Cuvelier, Richard Combes, Eric Gourdin
We consider combinatorial semi-bandits over a set of arms where rewards are uncorrelated across items. For this problem, the algorithm ESCB yields the…