Bio
Mathis Antonnetti is a PhD student working in the HUCEBOT team and focusing on imitation-based policy learning algorithms. He graduated from the MVA master’s program at ENS Paris-Saclay.
Research Interests
Goal-conditioned RL
Diffusion models
In Brief
Topic: Learning handling policies for carrying parcel bags.
Supervisors: Dr. Jean-Baptiste Mouret & Dr. Serena Ivaldi
Funding: Inria and La Poste
Publications
2025
Preprints, Working Papers, …
- titre
- An analysis of distributional reinforcement learning with Gaussian mixtures
- auteur
- Mathis Antonetti, Henrique Donãncio, Florence Forbes
- article
- 2025
- Accès au texte intégral et bibtex
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