RESTELLI, MARCELLO

RESTELLI, MARCELLO  

DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA  

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Titolo Data di pubblicazione Autori File
A multiobjective reinforcement learning approach to water resources systems operation: Pareto frontier approximation in a single run 1-gen-2013 CASTELLETTI, ANDREA FRANCESCOPIANOSI, FRANCESCARESTELLI, MARCELLO
A practical guide to multi-objective reinforcement learning and planning 1-gen-2022 Restelli M. +
A Provably Efficient Option-Based Algorithm for both High-Level and Low-Level Learning 1-gen-2024 G. DrappoA. M. MetelliM. Restelli
A Reinforcement Learning controller optimizing costs and battery State of Health in smart grids 1-gen-2024 Mussi, MarcoPellegrino, LuigiPindaro, Oscar FrancescoRestelli, MarcelloTrovo, Francesco
A voltage dynamic-based state of charge estimation method for batteries storage systems 1-gen-2021 Mussi M.Restelli M.Trovò Francesco +
Abstract PO-065: Artificial intelligence to improve selection for NSCLC patients treated with immunotherapy 1-gen-2021 Prelaj, ArselaRestelli, MarcelloPedrocchi, AlessandraTrovo, Francesco +
An online state of health estimation method for lithium-ion batteries based on time partitioning and data-driven model identification 1-gen-2022 Mussi M.Restelli M.Trovo Francesco +
An Option-Dependent Analysis of Regret Minimization Algorithms in Finite-Horizon Semi-MDP 1-gen-2023 Gianluca DrappoAlberto Maria MetelliMarcello Restelli
ARLO: A framework for Automated Reinforcement Learning 1-gen-2023 Mussi, MarcoMetelli, Alberto MariaTrovo, FrancescoRestelli, Marcello +
Coherent transport of quantum states by deep reinforcement learning 1-gen-2019 Tamascelli, DarioRestelli, MarcelloPrati, Enrico +
Combining reinforcement learning with rule-based controllers for transparent and general decision-making in autonomous driving 1-gen-2020 Likmeta AmarildoMetelli Alberto MariaTirinzoni AndreaGiol RiccardoRestelli Marcello +
Concepts and fuzzy models for behavior-based robotics 1-gen-2006 BONARINI, ANDREAMATTEUCCI, MATTEORESTELLI, MARCELLO
Convex Reinforcement Learning in Finite Trials 1-gen-2023 Mirco MuttiRiccardo De SantiPiersilvio De BartolomeisMarcello Restelli
Data-driven dynamic emulation modelling for the optimal management of environmental systems 1-gen-2012 CASTELLETTI, ANDREA FRANCESCOGALELLI, STEFANORESTELLI, MARCELLOSONCINI SESSA, RODOLFO
Data-driven indicators for the detection and prediction of stuck-pipe events in oil&gas drilling operations 1-gen-2021 Matteucci M.Restelli M.Ferrarini L.Piroddi L. +
Dealer markets: A reinforcement learning mean field game approach 1-gen-2023 Bernasconi, MartinoVittori, E.Trovo, FrancescoRestelli, Marcello
Dealing with multiple experts and non-stationarity in inverse reinforcement learning: an application to real-life problems 1-gen-2021 Likmeta A.Metelli A. M.Ramponi G.Tirinzoni A.Giuliani M.Restelli M.
Extensive-form games with heterogeneous populations: solution concepts, equilibria characterization, learning dynamics 1-gen-2016 GATTI, NICOLARESTELLI, MARCELLOPANOZZO, FABIO
Gaussian approximation for bias reduction in Q-learning 1-gen-2021 D'Eramo C.Nuara A.Pirotta M.Alippi C.Restelli M. +
Importance Sampling Techniques for Policy Optimization 1-gen-2020 Metelli Alberto MariaPapini MatteoMontali NicoRestelli Marcello