3 papers
cs.LG2026
Learning in Markov Decision Processes with Exogenous Dynamics
Davide Maran, Davide Salaorni, Marcello Restelli
Reinforcement learning algorithms are typically designed for generic Markov Decision Processes (MDPs), where any state-action pair can lead to an arbitrary transition distribution.…
cs.LG2025
Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning
Davide Salaorni, Vincenzo De Paola, Samuele Delpero +9
In recent years, \emph{Reinforcement Learning} (RL) has made remarkable progress, achieving superhuman performance in a wide range of simulated environments. As research moves towa…
cs.LG2025
A Reinforcement Learning Approach for Optimal Control in Microgrids
Davide Salaorni, Federico Bianchi, Francesco Trovò +1
The increasing integration of renewable energy sources (RESs) is transforming traditional power grid networks, which require new approaches for managing decentralized energy produc…