Victor Boone

Bureau 424

Bâtiment IMAG, UGA

150 place du Torrent

38401 Saint Martin d'Hères, France

I am Victor Boone, Post-Doc at the Université Grenoble Alpes in the POLARIS team (soon GHOST) as well as a teacher assistant at the UGA. My work focuses on Reinforcement Learning, Multi-Armed Bandits and Game Theory.

You can join me via email victor.boone@inria.fr or boonevv@gmail.com.

I am just a curious fellow that tries to explain what I actually see on my computer when I run learning algorithms, by pushing theory to its limits. I am concerned with finite Markov decision processes, stochastic bandits and finite games in normal form. Although lately, I am mostly focusing on regret minimization in Markov decision processes…

I did my PhD thesis under the supervision of Bruno Gaujal and Panayotis Mertikopoulos and have defended on November 2024. My manuscript is entirely dedicated to regret minimization in Markov decision processes in the undiscounted infinite horizon setting. Check it out here!

news

Oct 2, 2023	I finally made a website!

latest posts

selected publications

2024

PhD thesis

Optimal regrets in Markov decision processes

Victor Boone

Nov 2024

Bib PDF

@thesis{boone_thesis_2024,
  title = {Optimal regrets in Markov decision processes},
  author = {Boone, Victor},
  url = {https://victor-boone.github.io/assets/pdf/VBOONE-manuscript-v1.1.pdf},
  year = {2024},
  month = nov
}

NeurIPS

Achieving Tractable Minimax Optimal Regret in Average Reward MDPs

Victor Boone, and Zihan Zhang

In Proceedings of the 38th International Conference on Neural Information Processing Systems, Nov 2024

_eprint: 2406.01234, publication is WIP

Bib HTML PDF

@inproceedings{boone_achieving_2024,
  title = {Achieving {Tractable} {Minimax} {Optimal} {Regret} in {Average} {Reward} {MDPs}},
  url = {https://arxiv.org/abs/2406.01234},
  author = {Boone, Victor and Zhang, Zihan},
  booktitle = {Proceedings of the 38th International Conference on Neural Information Processing Systems},
  year = {2024},
  note = {\_eprint: 2406.01234, publication is WIP}
}

2023

arxiv

The Sliding Regret in Stochastic Bandits: Discriminating Index and Randomized Policies

Victor Boone

Nov 2023

arXiv:2311.18437 [cs, eess, math, stat]

Bib HTML PDF

@misc{boone_sliding_2023,
  title = {The {Sliding} {Regret} in {Stochastic} {Bandits}: {Discriminating} {Index} and {Randomized} {Policies}},
  publisher = {arXiv},
  author = {Boone, Victor},
  month = nov,
  year = {2023},
  note = {arXiv:2311.18437 [cs, eess, math, stat]},
  keywords = {Computer Science - Machine Learning, Electrical Engineering and Systems Science - Systems and Control, Mathematics - Optimization and Control, Statistics - Machine Learning}
}