1 citations · 1 across the 3 of their papers we have counts for
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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.…
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…
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…