35 citations · 36 across the 5 of their papers we have counts for
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cs.LG2025
Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling
Walid Bendada, Guillaume Salha-Galvan, Romain Hennequin +3
This paper introduces von Mises-Fisher exploration (vMF-exp), a scalable method for exploring large action sets in reinforcement learning problems where hyperspherical embedding ve…
cs.LG2020★ 35 cited
Carousel Personalization in Music Streaming Apps with Contextual Bandits
Walid Bendada, Guillaume Salha, Théo Bontempelli
Media services providers, such as music streaming platforms, frequently leverage swipeable carousels to recommend personalized content to their users. However, selecting the most r…