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Alberto Maria Metelli

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

45

Venues

8

Active years

2018–2025

Best venue rank

A*

Where they publish

Papers

45 indexed papers, newest first.

YearVenueTitleAuthors
2025AISTATSEfficient Exploitation of Hierarchical Structure in Sparse Reward Reinforcement Learning.Gianluca Drappo, Arnaud Robert, Marcello Restelli, Aldo A. Faisal, Alberto Maria Metelli, Ciara Pike-Burke
2025AISTATSAchieving $\widetilde{\mathcal{O}}(\sqrt{T})$ Regret in Average-Reward POMDPs with Known Observation Models.Alessio Russo, Alberto Maria Metelli, Marcello Restelli
2025COLTOpen Problem: Regret Minimization in Heavy-Tailed Bandits with Unknown Distributional Parameters.Gianmarco Genalti, Alberto Maria Metelli
2025ICMLTowards Theoretical Understanding of Sequential Decision Making with Preference Feedback.Simone Drago, Marco Mussi, Alberto Maria Metelli
2025ICMLSleeping Reinforcement Learning.Simone Drago, Marco Mussi, Alberto Maria Metelli
2025ICMLPosition: Constants are Critical in Regret Bounds for Reinforcement Learning.Simone Drago, Marco Mussi, Alberto Maria Metelli
2025ICMLLearning Utilities from Demonstrations in Markov Decision Processes.Filippo Lazzati, Alberto Maria Metelli
2025ICMLConvergence Analysis of Policy Gradient Methods with Dynamic Stochasticity.Alessandro Montenegro, Marco Mussi, Matteo Papini, Alberto Maria Metelli
2024AAAIRecent Advancements in Inverse Reinforcement Learning.Alberto Maria Metelli
2024AAAIParameterized Projected Bellman Operator.Tho Vincent, Alberto Maria Metelli, Boris Belousov, Jan Peters, Marcello Restelli, Carlo D'Eramo
2024AISTATSAutoregressive Bandits.Francesco Bacchiocchi, Gianmarco Genalti, Davide Maran, Marco Mussi, Marcello Restelli, Nicola Gatti, Alberto Maria Metelli
2024AISTATSDissimilarity Bandits.Paolo Battellani, Alberto Maria Metelli, Francesco Trov
2024COLT(ε, u)-Adaptive Regret Minimization in Heavy-Tailed Bandits.Gianmarco Genalti, Lupo Marsigli, Nicola Gatti, Alberto Maria Metelli
2024COLTProjection by Convolution: Optimal Sample Complexity for Reinforcement Learning in Continuous-Space MDPs.Davide Maran, Alberto Maria Metelli, Matteo Papini, Marcello Restelli
2024ICMLGraph-Triggered Rising Bandits.Gianmarco Genalti, Marco Mussi, Nicola Gatti, Marcello Restelli, Matteo Castiglioni, Alberto Maria Metelli
2024ICMLOffline Inverse RL: New Solution Concepts and Provably Efficient Algorithms.Filippo Lazzati, Mirco Mutti, Alberto Maria Metelli
2024ICMLNo-Regret Reinforcement Learning in Smooth MDPs.Davide Maran, Alberto Maria Metelli, Matteo Papini, Marcello Restelli
2024ICMLLearning Optimal Deterministic Policies with Stochastic Policy Gradients.Alessandro Montenegro, Marco Mussi, Alberto Maria Metelli, Matteo Papini
2024ICMLFactored-Reward Bandits with Intermediate Observations.Marco Mussi, Simone Drago, Marcello Restelli, Alberto Maria Metelli
2024ICMLBest Arm Identification for Stochastic Rising Bandits.Marco Mussi, Alessandro Montenegro, Francesco Trov, Marcello Restelli, Alberto Maria Metelli
2024IJCAIOnline Learning with Off-Policy Feedback in Adversarial MDPs.Francesco Bacchiocchi, Francesco Emanuele Stradi, Matteo Papini, Alberto Maria Metelli, Nicola Gatti
2024IJCNNCausal Feature Selection via Transfer Entropy.Paolo Bonetti, Alberto Maria Metelli, Marcello Restelli
2024IJCNNThe Power of Hybrid Learning in Industrial Robotics: Efficient Grasping Strategies with Supervised-Driven Reinforcement Learning.Vincenzo De Paola, Giuseppe Calcagno, Alberto Maria Metelli, Marcello Restelli
2023AAAIWasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control.Amarildo Likmeta, Matteo Sacco, Alberto Maria Metelli, Marcello Restelli
2023AAAITight Performance Guarantees of Imitator Policies with Continuous Actions.Davide Maran, Alberto Maria Metelli, Marcello Restelli
2023AAAISimultaneously Updating All Persistence Values in Reinforcement Learning.Luca Sabbioni, Luca Al Daire, Lorenzo Bisi, Alberto Maria Metelli, Marcello Restelli
2023AISTATSA Tale of Sampling and Estimation in Discounted Reinforcement Learning.Alberto Maria Metelli, Mirco Mutti, Marcello Restelli
2023ICMLTowards Theoretical Understanding of Inverse Reinforcement Learning.Alberto Maria Metelli, Filippo Lazzati, Marcello Restelli
2023ICMLDynamical Linear Bandits.Marco Mussi, Alberto Maria Metelli, Marcello Restelli
2023ICMLTruncating Trajectories in Monte Carlo Reinforcement Learning.Riccardo Poiani, Alberto Maria Metelli, Marcello Restelli
2023ITWInformation-Theoretic Regret Bounds for Bandits with Fixed Expert Advice.Khaled Eldowa, Nicol Cesa-Bianchi, Alberto Maria Metelli, Marcello Restelli
2023UAIOn the Relation between Policy Improvement and Off-Policy Minimum-Variance Policy Evaluation.Alberto Maria Metelli, Samuele Meta, Marcello Restelli
2022AAAILifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization.Pierre Liotet, Francesco Vidaich, Alberto Maria Metelli, Marcello Restelli
2022ICMLBalancing Sample Efficiency and Suboptimality in Inverse Reinforcement Learning.Angelo Damiani, Giorgio Manganini, Alberto Maria Metelli, Marcello Restelli
2022ICMLStochastic Rising Bandits.Alberto Maria Metelli, Francesco Trov, Matteo Pirola, Marcello Restelli
2022IJCNNStorehouse: a Reinforcement Learning Environment for Optimizing Warehouse Management.Julen Cestero, Marco Quartulli, Alberto Maria Metelli, Marcello Restelli
2021AAAIPolicy Optimization as Online Learning with Mediator Feedback.Alberto Maria Metelli, Matteo Papini, Pierluca D'Oro, Marcello Restelli
2021ICMLProvably Efficient Learning of Transferable Rewards.Alberto Maria Metelli, Giorgia Ramponi, Alessandro Concetti, Marcello Restelli
2020AAAIGradient-Aware Model-Based Policy Search.Pierluca D'Oro, Alberto Maria Metelli, Andrea Tirinzoni, Matteo Papini, Marcello Restelli
2020AISTATSTruly Batch Model-Free Inverse Reinforcement Learning about Multiple Intentions.Giorgia Ramponi, Amarildo Likmeta, Alberto Maria Metelli, Andrea Tirinzoni, Marcello Restelli
2020ICMLControl Frequency Adaptation via Action Persistence in Batch Reinforcement Learning.Alberto Maria Metelli, Flavio Mazzolini, Lorenzo Bisi, Luca Sabbioni, Marcello Restelli
2019ICMLReinforcement Learning in Configurable Continuous Environments.Alberto Maria Metelli, Emanuele Ghelfi, Marcello Restelli
2019ICMLOptimistic Policy Optimization via Multiple Importance Sampling.Matteo Papini, Alberto Maria Metelli, Lorenzo Lupo, Marcello Restelli
2019IJCNNFeature Selection via Mutual Information: New Theoretical Insights.Mario Beraha, Alberto Maria Metelli, Matteo Papini, Andrea Tirinzoni, Marcello Restelli
2018ICMLConfigurable Markov Decision Processes.Alberto Maria Metelli, Mirco Mutti, Marcello Restelli