208 citations · 1.5k across the 43 of their papers we have counts for
4 papers · 1 filter
Learning Upper Lower Value Envelopes to Shape Online RL: A Principled Approach
Sebastian Reboul, Hélène Halconruy
We investigate the fundamental problem of leveraging offline data to accelerate online reinforcement learning - a direction with strong potential but limited theoretical grounding.…
Variational Diffusion Posterior Sampling with Midpoint Guidance
Badr Moufad, Yazid Janati, Lisa Bedin +4
Diffusion models have recently shown considerable potential in solving Bayesian inverse problems when used as priors. However, sampling from the resulting denoising posterior distr…
Asymptotic convergence of iterative optimization algorithms
Randal Douc, Sylvain Le Corff
This paper introduces a general framework for iterative optimization algorithms and establishes under general assumptions that their convergence is asymptotically geometric. We als…
A Global Stochastic Optimization Particle Filter Algorithm
Mathieu Gerber, Randal Douc
We introduce a new online algorithm for expected log-likelihood maximization in situations where the objective function is multi-modal and/or has saddle points, that we term G-PFSO…