Théo Bontempelli

Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling

This paper introduces von Mises-Fisher exploration (vMF-exp), a scalable method for exploring large action sets in reinforcement learning problems where hyperspherical embedding vectors represent these actions. vMF-exp involves initially sampling a state embedding representation using a von Mises-Fi…