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Walid Bendada

2 papers hereh-index 6164 citations10 works total

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  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

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  • cs.IR1
  • cs.LG1

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1 paper · 1 filter

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…

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