3 papers
cs.LG2024★ 2 cited
Model-Free Active Exploration in Reinforcement Learning
Alessio Russo, Alexandre Proutiere
We study the problem of exploration in Reinforcement Learning and present a novel model-free solution. We adopt an information-theoretical viewpoint and start from the instance-spe…
eess.SY2023★ 1 cited
Constrained Deep Reinforcement Learning for Fronthaul Compression Optimization
Axel Grönland, Alessio Russo, Yassir Jedra +2
In the Centralized-Radio Access Network (C-RAN) architecture, functions can be placed in the central or distributed locations. This architecture can offer higher capacity and cost…
eess.SY2022
Tube-Based Zonotopic Data-Driven Predictive Control
Alessio Russo, Alexandre Proutiere
We present a novel tube-based data-driven predictive control method for linear systems affected by a bounded addictive disturbance. Our method leverages recent results in the reach…