1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.LG2025
Shift Before You Learn: Enabling Low-Rank Representations in Reinforcement Learning
Bastien Dubail, Stefan Stojanovic, Alexandre Proutière
Low-rank structure is a common implicit assumption in many modern reinforcement learning (RL) algorithms. For instance, reward-free and goal-conditioned RL methods often presume th…
math.PR2024★ 1 cited
Cutoff for mixtures of permuted Markov chains: general case
Bastien Dubail
We investigate the mixing properties of a finite Markov chain in random environment defined as a mixture of a deterministic chain and a chain whose state space has been permuted un…
math.PR2024
Cutoff for mixtures of permuted Markov chains: reversible case
Bastien Dubail
We investigate the mixing properties of a model of reversible Markov chains in random environment, which notably contains the simple random walk on the superposition of a determini…