Brahim Driss

StaQ: a Finite Memory Approach to Discrete Action Policy Mirror Descent

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

Performative Policy Gradient: Ascent to Optimality in Performative Reinforcement Learning

Distributional Monte-Carlo Tree Search with Thompson Sampling in Stochastic Environments

A Continual Learning Perspective to Entropy Regularized Deep Reinforcement Learning

Online Robust Reinforcement Learning Through Monte-Carlo Planning