Metelli, Alberto Maria

70 publications

AISTATS 2025 Achieving $\widetilde\mathcal{O}(\sqrt{T})$ Regret in Average-Reward POMDPs with Known Observation Models Alessio Russo, Alberto Maria Metelli, Marcello Restelli

ICML 2025 Convergence Analysis of Policy Gradient Methods with Dynamic Stochasticity Alessandro Montenegro, Marco Mussi, Matteo Papini, Alberto Maria Metelli

AISTATS 2025 Efficient Exploitation of Hierarchical Structure in Sparse Reward Reinforcement Learning Gianluca Drappo, Arnaud Robert, Marcello Restelli, Aldo A. Faisal, Alberto Maria Metelli, Ciara Pike-Burke

JAIR 2025 Generalizing the Regret: An Analysis of Lower and Upper Bounds Marco Mussi, Alberto Maria Metelli

ICML 2025 Learning Utilities from Demonstrations in Markov Decision Processes Filippo Lazzati, Alberto Maria Metelli

COLT 2025 Open Problem: Regret Minimization in Heavy-Tailed Bandits with Unknown Distributional Parameters Gianmarco Genalti, Alberto Maria Metelli

ICML 2025 Position: Constants Are Critical in Regret Bounds for Reinforcement Learning Simone Drago, Marco Mussi, Alberto Maria Metelli

MLJ 2025 Search or Split: Policy Gradient with Adaptive Policy Space Gianmarco Tedeschi, Matteo Papini, Alberto Maria Metelli, Marcello Restelli

ICML 2025 Sleeping Reinforcement Learning Simone Drago, Marco Mussi, Alberto Maria Metelli

NeurIPS 2025 Spectral Learning for Infinite-Horizon Average-Reward POMDPs Alessio Russo, Alberto Maria Metelli, Marcello Restelli

NeurIPS 2025 Tightening Regret Lower and Upper Bounds in Restless Rising Bandits Cristiano Migali, Marco Mussi, Gianmarco Genalti, Alberto Maria Metelli

ICML 2025 Towards Theoretical Understanding of Sequential Decision Making with Preference Feedback Simone Drago, Marco Mussi, Alberto Maria Metelli

COLT 2024 (ε, U)-Adaptive Regret Minimization in Heavy-Tailed Bandits Gianmarco Genalti, Lupo Marsigli, Nicola Gatti, Alberto Maria Metelli

ICML 2024 Best Arm Identification for Stochastic Rising Bandits Marco Mussi, Alessandro Montenegro, Francesco Trovò, Marcello Restelli, Alberto Maria Metelli

ICML 2024 Factored-Reward Bandits with Intermediate Observations Marco Mussi, Simone Drago, Marcello Restelli, Alberto Maria Metelli

ICML 2024 Graph-Triggered Rising Bandits Gianmarco Genalti, Marco Mussi, Nicola Gatti, Marcello Restelli, Matteo Castiglioni, Alberto Maria Metelli

NeurIPS 2024 How Does Inverse RL Scale to Large State Spaces? a Provably Efficient Approach Filippo Lazzati, Mirco Mutti, Alberto Maria Metelli

JMLR 2024 Information Capacity Regret Bounds for Bandits with Mediator Feedback Khaled Eldowa, Nicolò Cesa-Bianchi, Alberto Maria Metelli, Marcello Restelli

ECML-PKDD 2024 Interpetable Target-Feature Aggregation for Multi-Task Learning Based on Bias-Variance Analysis Paolo Bonetti, Alberto Maria Metelli, Marcello Restelli

NeurIPS 2024 Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning Alessandro Montenegro, Marco Mussi, Matteo Papini, Alberto Maria Metelli

ICML 2024 Learning Optimal Deterministic Policies with Stochastic Policy Gradients Alessandro Montenegro, Marco Mussi, Alberto Maria Metelli, Matteo Papini

NeurIPS 2024 Local Linearity: The Key for No-Regret Reinforcement Learning in Continuous MDPs Davide Maran, Alberto Maria Metelli, Matteo Papini, Marcello Restelli

ICML 2024 No-Regret Reinforcement Learning in Smooth MDPs Davide Maran, Alberto Maria Metelli, Matteo Papini, Marcello Restelli

ICML 2024 Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms Filippo Lazzati, Mirco Mutti, Alberto Maria Metelli

IJCAI 2024 Online Learning with Off-Policy Feedback in Adversarial MDPs Francesco Bacchiocchi, Francesco Emanuele Stradi, Matteo Papini, Alberto Maria Metelli, Nicola Gatti

NeurIPS 2024 Optimal Multi-Fidelity Best-Arm Identification Riccardo Poiani, Rémy Degenne, Emilie Kaufmann, Alberto Maria Metelli, Marcello Restelli

AAAI 2024 Parameterized Projected Bellman Operator Théo Vincent, Alberto Maria Metelli, Boris Belousov, Jan Peters, Marcello Restelli, Carlo D'Eramo

COLT 2024 Projection by Convolution: Optimal Sample Complexity for Reinforcement Learning in Continuous-Space MDPs Davide Maran, Alberto Maria Metelli, Matteo Papini, Marcello Restelli

AAAI 2024 Recent Advancements in Inverse Reinforcement Learning Alberto Maria Metelli

MLJ 2024 Sample Complexity of Variance-Reduced Policy Gradient: Weaker Assumptions and Lower Bounds Gabor Paczolay, Matteo Papini, Alberto Maria Metelli, István Á. Harmati, Marcello Restelli

NeurIPS 2024 Sub-Optimal Experts Mitigate Ambiguity in Inverse Reinforcement Learning Riccardo Poiani, Gabriele Curti, Alberto Maria Metelli, Marcello Restelli

TMLR 2024 Switching Latent Bandits Alessio Russo, Alberto Maria Metelli, Marcello Restelli

ICMLW 2023 A Best Arm Identification Approach for Stochastic Rising Bandits Alessandro Montenegro, Marco Mussi, Francesco Trovò, Marcello Restelli, Alberto Maria Metelli

AISTATS 2023 A Tale of Sampling and Estimation in Discounted Reinforcement Learning Alberto Maria Metelli, Mirco Mutti, Marcello Restelli

TMLR 2023 An Option-Dependent Analysis of Regret Minimization Algorithms in Finite-Horizon Semi-MDP Gianluca Drappo, Alberto Maria Metelli, Marcello Restelli

NeurIPS 2023 Distributional Policy Evaluation: A Maximum Entropy Approach to Representation Learning Riccardo Zamboni, Alberto Maria Metelli, Marcello Restelli

ICML 2023 Dynamical Linear Bandits Marco Mussi, Alberto Maria Metelli, Marcello Restelli

UAI 2023 On the Relation Between Policy Improvement and Off-Policy Minimum-Variance Policy Evaluation Alberto Maria Metelli, Samuele Meta, Marcello Restelli

ICMLW 2023 Parameterized Projected Bellman Operator Théo Vincent, Alberto Maria Metelli, Jan Peters, Marcello Restelli, Carlo D'Eramo

NeurIPSW 2023 Pure Exploration Under Mediators’ Feedback Riccardo Poiani, Alberto Maria Metelli, Marcello Restelli

AAAI 2023 Simultaneously Updating All Persistence Values in Reinforcement Learning Luca Sabbioni, Luca Al Daire, Lorenzo Bisi, Alberto Maria Metelli, Marcello Restelli

AAAI 2023 Tight Performance Guarantees of Imitator Policies with Continuous Actions Davide Maran, Alberto Maria Metelli, Marcello Restelli

NeurIPSW 2023 Towards Fully Adaptive Regret Minimization in Heavy-Tailed Bandits Gianmarco Genalti, Lupo Marsigli, Nicola Gatti, Alberto Maria Metelli

ICML 2023 Towards Theoretical Understanding of Inverse Reinforcement Learning Alberto Maria Metelli, Filippo Lazzati, Marcello Restelli

NeurIPS 2023 Truncating Trajectories in Monte Carlo Policy Evaluation: An Adaptive Approach Riccardo Poiani, Nicole Nobili, Alberto Maria Metelli, Marcello Restelli

ICML 2023 Truncating Trajectories in Monte Carlo Reinforcement Learning Riccardo Poiani, Alberto Maria Metelli, Marcello Restelli

AAAI 2023 Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control Amarildo Likmeta, Matteo Sacco, Alberto Maria Metelli, Marcello Restelli

ICML 2022 Balancing Sample Efficiency and Suboptimality in Inverse Reinforcement Learning Angelo Damiani, Giorgio Manganini, Alberto Maria Metelli, Marcello Restelli

ICMLW 2022 Directed Exploration via Uncertainty-Aware Critics Amarildo Likmeta, Matteo Sacco, Alberto Maria Metelli, Marcello Restelli

AAAI 2022 Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization Pierre Liotet, Francesco Vidaich, Alberto Maria Metelli, Marcello Restelli

NeurIPS 2022 Multi-Fidelity Best-Arm Identification Riccardo Poiani, Alberto Maria Metelli, Marcello Restelli

MLJ 2022 Policy Space Identification in Configurable Environments Alberto Maria Metelli, Guglielmo Manneschi, Marcello Restelli

ICML 2022 Stochastic Rising Bandits Alberto Maria Metelli, Francesco Trovò, Matteo Pirola, Marcello Restelli

MLJ 2021 Dealing with Multiple Experts and Non-Stationarity in Inverse Reinforcement Learning: An Application to Real-Life Problems Amarildo Likmeta, Alberto Maria Metelli, Giorgia Ramponi, Andrea Tirinzoni, Matteo Giuliani, Marcello Restelli

NeurIPS 2021 Learning in Non-Cooperative Configurable Markov Decision Processes Giorgia Ramponi, Alberto Maria Metelli, Alessandro Concetti, Marcello Restelli

AAAI 2021 Policy Optimization as Online Learning with Mediator Feedback Alberto Maria Metelli, Matteo Papini, Pierluca D'Oro, Marcello Restelli

NeurIPSW 2021 Policy Optimization via Optimal Policy Evaluation Alberto Maria Metelli, Samuele Meta, Marcello Restelli

ICML 2021 Provably Efficient Learning of Transferable Rewards Alberto Maria Metelli, Giorgia Ramponi, Alessandro Concetti, Marcello Restelli

JMLR 2021 Safe Policy Iteration: A Monotonically Improving Approximate Policy Iteration Approach Alberto Maria Metelli, Matteo Pirotta, Daniele Calandriello, Marcello Restelli

NeurIPS 2021 Subgaussian and Differentiable Importance Sampling for Off-Policy Evaluation and Learning Alberto Maria Metelli, Alessio Russo, Marcello Restelli

ICML 2020 Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning Alberto Maria Metelli, Flavio Mazzolini, Lorenzo Bisi, Luca Sabbioni, Marcello Restelli

AAAI 2020 Gradient-Aware Model-Based Policy Search Pierluca D'Oro, Alberto Maria Metelli, Andrea Tirinzoni, Matteo Papini, Marcello Restelli

JMLR 2020 Importance Sampling Techniques for Policy Optimization Alberto Maria Metelli, Matteo Papini, Nico Montali, Marcello Restelli

AISTATS 2020 Truly Batch Model-Free Inverse Reinforcement Learning About Multiple Intentions Giorgia Ramponi, Amarildo Likmeta, Alberto Maria Metelli, Andrea Tirinzoni, Marcello Restelli

ICML 2019 Optimistic Policy Optimization via Multiple Importance Sampling Matteo Papini, Alberto Maria Metelli, Lorenzo Lupo, Marcello Restelli

NeurIPS 2019 Propagating Uncertainty in Reinforcement Learning via Wasserstein Barycenters Alberto Maria Metelli, Amarildo Likmeta, Marcello Restelli

ICML 2019 Reinforcement Learning in Configurable Continuous Environments Alberto Maria Metelli, Emanuele Ghelfi, Marcello Restelli

ICML 2018 Configurable Markov Decision Processes Alberto Maria Metelli, Mirco Mutti, Marcello Restelli

NeurIPS 2018 Policy Optimization via Importance Sampling Alberto Maria Metelli, Matteo Papini, Francesco Faccio, Marcello Restelli

NeurIPS 2017 Compatible Reward Inverse Reinforcement Learning Alberto Maria Metelli, Matteo Pirotta, Marcello Restelli