Brahim Driss

Researcher, INRIA

Joined

February 2024

Names

Brahim Driss (Preferred)

Emails

****@inria.fr (Confirmed)

Personal Links

Career & Education History

Researcher

INRIA (inria.fr)

2023 – Present

MS student

Université Paris-Dauphine (Paris IX) (lamsade.dauphine.fr)

2021 – 2022

Advisors, Relations & Conflicts

Coauthor

Tristan Cazenave

Present

Expertise

No areas of expertise listed

Publications

StaQ: a Finite Memory Approach to Discrete Action Policy Mirror Descent
Alena Shilova, Alex Davey, Brahim Driss, Riad Akrour
- Submitted to ICLR 2026
- Readers: Everyone
PB²: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning
Brahim Driss, Alex Davey, Riad Akrour
- Submitted to ICLR 2026
- Readers: Everyone
Performative Policy Gradient: Ascent to Optimality in Performative Reinforcement Learning
Debabrota Basu, Udvas Das, Brahim Driss, Uddalak Mukherjee
- ICLR 2026 Conference Desk Rejected Submission
- Readers: Everyone
Distributional Monte-Carlo Tree Search with Thompson Sampling in Stochastic Environments
Tuan Quang Dam, Brahim Driss, Vu C. Dinh, Bach Ngoc Kim, Odalric-Ambrym Maillard
- Submitted to ICLR 2026
- Readers: Everyone
PB²: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning
Brahim Driss, Alex Davey, Riad Akrour
- EWRL 2025 Poster
- Readers: Everyone
StaQ it! Growing neural networks for Policy Mirror Descent
Alena Shilova, Alex Davey, Brahim Driss, Riad Akrour
- EWRL 2025 Poster
- Readers: Everyone
Online Robust Reinforcement Learning Through Monte-Carlo Planning
Tuan Quang Dam, Kishan Panaganti, Brahim Driss, Adam Wierman
- ICML 2025 poster
- Readers: Everyone
A Continual Learning Perspective to Entropy Regularized Deep Reinforcement Learning
Alena Shilova, Alex Davey, Brahim Driss, Riad Akrour
- Submitted to ICLR 2025
- Readers: Everyone
Distributional Monte-Carlo Planning with Thompson Sampling in Stochastic Environments
Tuan Quang Dam, Brahim Driss, Odalric-Ambrym Maillard
- FoRLaC Poster
- Readers: Everyone
Distributional Monte-Carlo Planning with Thompson Sampling in Stochastic Environments
Tuan Quang Dam, Brahim Driss, Odalric-Ambrym Maillard
- Submitted to NeurIPS 2024
- Readers: Everyone

Co-Authors