2 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
Optimizing Energy Management of Smart Grid using Reinforcement Learning aided by Surrogate models built using Physics-informed Neural Networks
Julen Cestero, Carmine Delle Femine, Kenji S. Muro +2
Optimizing the energy management within a smart grids scenario presents significant challenges, primarily due to the complexity of real-world systems and the intricate interactions…