Brahim Driss

According to our database, Brahim Driss authored at least 7 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Performative Policy Gradient: Optimality in Performative Reinforcement Learning.

Debabrota Basu, Udvas Das, Brahim Driss, Uddalak Mukherjee

CoRR, December, 2025

StaQ it! Growing neural networks for Policy Mirror Descent.

Alena Shilova, Alex Davey, Brahim Driss, Riad Akrour

CoRR, June, 2025

PB²: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning.

Brahim Driss, Alex Davey, Riad Akrour

CoRR, June, 2025

Online Robust Reinforcement Learning Through Monte-Carlo Planning.

Tuan Dam, Kishan Panaganti, Brahim Driss, Adam Wierman

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Deep Reinforcement Learning for 5*5 Multiplayer Go.

Brahim Driss, Jérôme Arjonilla, Hui Wang, Abdallah Saffidine, Tristan Cazenave

CoRR, 2024

2023

Deep Reinforcement Learning for 5 ˟ 5 Multiplayer Go.

Brahim Driss, Jérôme Arjonilla, Hui Wang, Abdallah Saffidine, Tristan Cazenave

Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

2022

Deep Catan.

Brahim Driss, Tristan Cazenave

Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 2022