TIRINZONI, ANDREA

TIRINZONI, ANDREA  

DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA  

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Risultati 1 - 17 di 17 (tempo di esecuzione: 0.053 secondi).
Titolo Data di pubblicazione Autori File
A Novel Confidence-Based Algorithm for Structured Bandits 1-gen-2020 Andrea TirinzoniAlessandro LazaricMarcello Restelli
An Asymptotically Optimal Primal-Dual Incremental Algorithm for Contextual Linear Bandits 1-gen-2020 Andrea TirinzoniMarcello 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 +
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 Weighted Transfer of Samples in Reinforcement Learning 1-gen-2018 TIRINZONI, ANDREASESSA, ANDREAPirotta, MatteoRestelli, Marcello
Leveraging Good Representations in Linear Contextual Bandits 1-gen-2021 Matteo PapiniAndrea TirinzoniMarcello RestelliAlessandro LazaricMatteo Pirotta
Meta-Reinforcement Learning by Tracking Task Non-stationarity 1-gen-2021 Poiani R.Tirinzoni A.Restelli M.
Policy-Conditioned Uncertainty Sets for Robust Markov Decision Processes 1-gen-2018 Tirinzoni Andrea +
Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection 1-gen-2021 Matteo PapiniAndrea TirinzoniMarcello RestelliAlessandro LazaricMatteo Pirotta +
Risk-averse policy optimization via risk-neutral policy optimization 1-gen-2022 Bisi L.Tirinzoni A.Restelli M. +
Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees 1-gen-2022 Tirinzoni A.Papini M.Lazaric A.Pirotta M. +
Sequential Transfer in Reinforcement Learning with a Generative Model 1-gen-2020 Andrea TirinzoniRiccardo PoianiMarcello Restelli
Transfer of Samples in Policy Search via Multiple Importance Sampling 1-gen-2019 Tirinzoni AndreaSalvini MattiaRestelli Marcello
Transfer of Value Functions via Variational Methods 1-gen-2018 Tirinzoni AndreaRodriguez Sanchez RafaelRestelli Marcello
Truly Batch Model-Free Inverse Reinforcement Learning about Multiple Intentions 1-gen-2020 Ramponi GiorgiaLikmeta AmarildoMetelli Alberto MariaTirinzoni AndreaRestelli Marcello