METELLI, ALBERTO MARIA

METELLI, ALBERTO MARIA  

DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA  

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Risultati 1 - 20 di 26 (tempo di esecuzione: 0.031 secondi).
Titolo Data di pubblicazione Autori File
Advancing drought monitoring via feature extraction 1-gen-2021 M. GiulianiA. M. MetelliM. RestelliA. Castelletti
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.
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
Learning in Non-Cooperative Configurable Markov Decision Processes 1-gen-2021 Metelli Alberto MariaRestelli Marcello +
Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization 1-gen-2022 Liotet, PierreMetelli, Alberto MariaRestelli, Marcello +
On the use of the policy gradient and Hessian in inverse reinforcement learning 1-gen-2020 Metelli A. M.Pirotta M.Restelli M.
Optimistic Policy Optimization via Multiple Importance Sampling 1-gen-2019 Papini, MatteoMetelli, Alberto MariaLupo, LorenzoRestelli, Marcello
Policy Optimization as Online Learning with Mediator Feedback 1-gen-2021 Alberto Maria MetelliMatteo PapiniPierluca D'OroMarcello Restelli
Policy optimization via importance sampling 1-gen-2018 Metelli A. M.Papini M.Restelli M. +
Policy space identification in configurable environments 1-gen-2021 Metelli A. M.Restelli M. +
Propagating Uncertainty in Reinforcement Learning via Wasserstein Barycenters 1-gen-2019 Metelli Alberto MariaMarcello Restelli +