18 citations · 24 across the 14 of their papers we have counts for
4 papers · 1 filter
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…
Model Based Residual Policy Learning with Applications to Antenna Control
Viktor Eriksson Möllerstedt, Alessio Russo, Maxime Bouton
Non-differentiable controllers and rule-based policies are widely used for controlling real systems such as telecommunication networks and robots. Specifically, parameters of mobil…
Some Ethical Issues in the Review Process of Machine Learning Conferences
Alessio Russo
Recent successes in the Machine Learning community have led to a steep increase in the number of papers submitted to conferences. This increase made more prominent some of the issu…
Optimal Attacks on Reinforcement Learning Policies
Alessio Russo, Alexandre Proutiere
Control policies, trained using the Deep Reinforcement Learning, have been recently shown to be vulnerable to adversarial attacks introducing even very small perturbations to the p…