Showing cs.LGShow all
2 papers · 1 filter
cs.LG2025
Adversarial Diffusion for Robust Reinforcement Learning
Daniele Foffano, Alessio Russo, Alexandre Proutiere
Robustness to modeling errors and uncertainties remains a central challenge in reinforcement learning (RL). In this work, we address this challenge by leveraging diffusion models t…
cs.LG2023
Conformal Off-Policy Evaluation in Markov Decision Processes
Daniele Foffano, Alessio Russo, Alexandre Proutiere
Reinforcement Learning aims at identifying and evaluating efficient control policies from data. In many real-world applications, the learner is not allowed to experiment and cannot…