METELLI, ALBERTO MARIA

METELLI, ALBERTO MARIA  

DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA  

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Titolo Data di pubblicazione Autori File
A Provably Efficient Option-Based Algorithm for both High-Level and Low-Level Learning 1-gen-2023 Gianluca DrappoAlberto Maria MetelliMarcello Restelli
A Tale of Sampling and Estimation in Discounted Reinforcement Learning 1-gen-2023 Metelli Alberto MariaMutti MircoRestelli Marcello
A unified view of configurable Markov Decision Processes: Solution concepts, value functions, and operators 1-gen-2022 Metelli A. M.
Advancing drought monitoring via feature extraction 1-gen-2021 M. GiulianiA. M. MetelliM. RestelliA. Castelletti
Advancing drought monitoring via feature extraction and multi-task learning algorithms 1-gen-2022 Matteo GiulianiPaolo BonettiAlberto Maria MetelliMarcello RestelliAndrea Castelletti
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 +
Balancing Sample Efficiency and Suboptimality in Inverse Reinforcement Learning 1-gen-2022 Alberto Maria MetelliMarcello Restelli +
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 +
Compatible Reward Inverse Reinforcement Learning 1-gen-2017 METELLI, ALBERTO MARIAM. PirottaM. Restelli
Configurable Environments in Reinforcement Learning: An Overview 1-gen-2022 Metelli A. M.
Configurable Markov Decision Processes 1-gen-2018 Metelli, Alberto MariaMutti, MircoRestelli, Marcello
Content-based approaches for cold-start job recommendations 1-gen-2017 Bianchi M.Cesaro F.Ciceri F.Dagrada M.Gasparin A.Grattarola D.Inajjar I.Metelli A. M.Cella L.
Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning 1-gen-2020 Metelli Alberto MariaBisi LorenzoSabbioni LucaRestelli 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.
Dynamical Linear Bandits 1-gen-2023 Mussi MarcoMetelli Alberto MariaRestelli Marcello
Exploiting environment configurability in reinforcement learning 1-gen-2022 Alberto Maria Metelli
Feature Selection via Mutual Information: New Theoretical Insights 1-gen-2019 Beraha M.Metelli A. M.Papini M.Tirinzoni A.Restelli M.
Gradient-Aware Model-Based Policy Search 1-gen-2020 Pierluca D'OroAlberto Maria MetelliAndrea TirinzoniMatteo PapiniMarcello Restelli
Importance Sampling Techniques for Policy Optimization 1-gen-2020 Metelli Alberto MariaPapini MatteoMontali NicoRestelli Marcello