Marcello Restelli

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 201

Top Venues

Publications

Davide Maran, Alberto Maria Metelli, Matteo Papini, Marcello Restelli
Projection by Convolution: Optimal Sample Complexity for Reinforcement Learning in Continuous-Space MDPs. COLT (2024)
Gianluca Drappo, Alberto Maria Metelli, Marcello Restelli
A Provably Efficient Option-Based Algorithm for both High-Level and Low-Level Learning. CoRR (2024)
Matteo Papini, Giorgio Manganini, Alberto Maria Metelli, Marcello Restelli
Policy Gradient with Active Importance Sampling. CoRR (2024)
Riccardo Zamboni, Duilio Cirino, Marcello Restelli, Mirco Mutti
How to Explore with Belief: State Entropy Maximization in POMDPs. CoRR (2024)
Mirco Mutti, Riccardo De Santi, Marcello Restelli, Alexander Marx, Giorgia Ramponi
Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning. ICLR (2024)
Riccardo Poiani, Ciprian Stirbu, Alberto Maria Metelli, Marcello Restelli
Optimizing Empty Container Repositioning and Fleet Deployment via Configurable Semi-POMDPs. IEEE Trans. Intell. Transp. Syst. 25 (5) (2024)
Gabor Paczolay, Matteo Papini, Alberto Maria Metelli, István Á. Harmati, Marcello Restelli
Sample complexity of variance-reduced policy gradient: weaker assumptions and lower bounds. Mach. Learn. 113 (9) (2024)
Théo Vincent, Alberto Maria Metelli, Boris Belousov, Jan Peters, Marcello Restelli, Carlo D'Eramo
Parameterized Projected Bellman Operator. AAAI (2024)
Davide Maran, Alberto Maria Metelli, Matteo Papini, Marcello Restelli
No-Regret Reinforcement Learning in Smooth MDPs. CoRR (2024)
Paolo Bonetti, Alberto Maria Metelli, Marcello Restelli
Interpetable Target-Feature Aggregation for Multi-Task Learning based on Bias-Variance Analysis. CoRR (2024)
Davide Maran, Pierriccardo Olivieri, Francesco Emanuele Stradi, Giuseppe Urso, Nicola Gatti, Marcello Restelli
Online Markov Decision Processes Configuration with Continuous Decision Space. AAAI (2024)
Riccardo Zamboni, Duilio Cirino, Marcello Restelli, Mirco Mutti
The Limits of Pure Exploration in POMDPs: When the Observation Entropy is Enough. CoRR (2024)
Paolo Bonetti, Alberto Maria Metelli, Marcello Restelli
Interpretable linear dimensionality reduction based on bias-variance analysis. Data Min. Knowl. Discov. 38 (4) (2024)
Davide Maran, Alberto Maria Metelli, Matteo Papini, Marcello Restelli
Projection by Convolution: Optimal Sample Complexity for Reinforcement Learning in Continuous-Space MDPs. CoRR (2024)
Riccardo Poiani, Gabriele Curti, Alberto Maria Metelli, Marcello Restelli
Inverse Reinforcement Learning with Sub-optimal Experts. CoRR (2024)
Khaled Eldowa, Nicolò Cesa-Bianchi, Alberto Maria Metelli, Marcello Restelli
Information Capacity Regret Bounds for Bandits with Mediator Feedback. CoRR (2024)
Francesco Bacchiocchi, Gianmarco Genalti, Davide Maran, Marco Mussi, Marcello Restelli, Nicola Gatti, Alberto Maria Metelli
Autoregressive Bandits. AISTATS (2024)
Riccardo Poiani, Rémy Degenne, Emilie Kaufmann, Alberto Maria Metelli, Marcello Restelli
Optimal Multi-Fidelity Best-Arm Identification. CoRR (2024)
Carlo D'Eramo, Davide Tateo, Andrea Bonarini, Marcello Restelli, Jan Peters
Sharing Knowledge in Multi-Task Deep Reinforcement Learning. CoRR (2024)
Mirco Mutti, Riccardo De Santi, Marcello Restelli, Alexander Marx, Giorgia Ramponi
Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning. CoRR (2023)
Mirco Mutti, Riccardo De Santi, Emanuele Rossi, Juan Felipe Calderón, Michael M. Bronstein, Marcello Restelli
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization. AAAI (2023)
Gianluca Drappo, Alberto Maria Metelli, Marcello Restelli
An Option-Dependent Analysis of Regret Minimization Algorithms in Finite-Horizon Semi-Markov Decision Processes. CoRR (2023)
Luca Sabbioni, Francesco Corda, Marcello Restelli
Stepsize Learning for Policy Gradient Methods in Contextual Markov Decision Processes. CoRR (2023)
Ahmed Elmaraghy, Jacopo Montali, Marcello Restelli, Francesco Causone, Pierpaolo Ruttico
Towards an AI-Based Framework for Autonomous Design and Construction: Learning from Reinforcement Learning Success in RTS Games. CAAD Futures (2023)
Paolo Bonetti, Alberto Maria Metelli, Marcello Restelli
Causal Feature Selection via Transfer Entropy. CoRR (2023)
Alberto Maria Metelli, Mirco Mutti, Marcello Restelli
A Tale of Sampling and Estimation in Discounted Reinforcement Learning. CoRR (2023)
Marco Mussi, Gianmarco Genalti, Alessandro Nuara, Francesco Trovò, Marcello Restelli, Nicola Gatti
Dynamic Pricing with Volume Discounts in Online Settings. AAAI (2023)
Marco Mussi, Davide Lombarda, Alberto Maria Metelli, Francesco Trovò, Marcello Restelli
ARLO: A framework for Automated Reinforcement Learning. Expert Syst. Appl. 224 (2023)
Conor F. Hayes, Roxana Radulescu, Eugenio Bargiacchi, Johan Källström, Matthew Macfarlane, Mathieu Reymond, Timothy Verstraeten, Luisa M. Zintgraf, Richard Dazeley, Fredrik Heintz, Enda Howley, Athirai A. Irissappane, Patrick Mannion, Ann Nowé, Gabriel de Oliveira Ramos, Marcello Restelli, Peter Vamplew, Diederik M. Roijers
A Brief Guide to Multi-Objective Reinforcement Learning and Planning. AAMAS (2023)
Massimiliano Bonetti, Lorenzo Bisi, Marcello Restelli
Risk-averse optimization of reward-based coherent risk measures. Artif. Intell. 316 (2023)
Gianluca Drappo, Alberto Maria Metelli, Marcello Restelli
An Option-Dependent Analysis of Regret Minimization Algorithms in Finite-Horizon Semi-MDP. Trans. Mach. Learn. Res. 2023 (2023)
Luca Sabbioni, Luca Al Daire, Lorenzo Bisi, Alberto Maria Metelli, Marcello Restelli
Simultaneously Updating All Persistence Values in Reinforcement Learning. AAAI (2023)
Amarildo Likmeta, Matteo Sacco, Alberto Maria Metelli, Marcello Restelli
Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control. CoRR (2023)
Marco Mussi, Alberto Maria Metelli, Marcello Restelli
Dynamical Linear Bandits. ICML (2023)
Luca Sabbioni, Francesco Corda, Marcello Restelli
Stepsize Learning for Policy Gradient Methods in Contextual Markov Decision Processes. ECML/PKDD (4) (2023)
Théo Vincent, Alberto Maria Metelli, Boris Belousov, Jan Peters, Marcello Restelli, Carlo D'Eramo
Parameterized Projected Bellman Operator. CoRR (2023)
Filippo Fedeli, Alberto Maria Metelli, Francesco Trovò, Marcello Restelli
IWDA: Importance Weighting for Drift Adaptation in Streaming Supervised Learning Problems. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Alberto Maria Metelli, Filippo Lazzati, Marcello Restelli
Towards Theoretical Understanding of Inverse Reinforcement Learning. CoRR (2023)
Alberto Maria Metelli, Mirco Mutti, Marcello Restelli
A Tale of Sampling and Estimation in Discounted Reinforcement Learning. AISTATS (2023)
Riccardo Poiani, Nicole Nobili, Alberto Maria Metelli, Marcello Restelli
Truncating Trajectories in Monte Carlo Policy Evaluation: an Adaptive Approach. NeurIPS (2023)
Riccardo Poiani, Alberto Maria Metelli, Marcello Restelli
Truncating Trajectories in Monte Carlo Reinforcement Learning. ICML (2023)
Mirco Mutti, Riccardo De Santi, Piersilvio De Bartolomeis, Marcello Restelli
Convex Reinforcement Learning in Finite Trials. J. Mach. Learn. Res. 24 (2023)
Amarildo Likmeta, Matteo Sacco, Alberto Maria Metelli, Marcello Restelli
Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control. AAAI (2023)
Paolo Bonetti, Alberto Maria Metelli, Marcello Restelli
Interpretable Linear Dimensionality Reduction based on Bias-Variance Analysis. CoRR (2023)
Davide Maran, Alberto Maria Metelli, Marcello Restelli
Tight Performance Guarantees of Imitator Policies with Continuous Actions. AAAI (2023)
Riccardo Zamboni, Alberto Maria Metelli, Marcello Restelli
Distributional Policy Evaluation: a Maximum Entropy approach to Representation Learning. NeurIPS (2023)
Marco Mussi, Alessandro Montenegro, Francesco Trovò, Marcello Restelli, Alberto Maria Metelli
Best Arm Identification for Stochastic Rising Bandits. CoRR (2023)
Khaled Eldowa, Nicolò Cesa-Bianchi, Alberto Maria Metelli, Marcello Restelli
Information-Theoretic Regret Bounds for Bandits with Fixed Expert Advice. ITW (2023)
Khaled Eldowa, Nicolò Cesa-Bianchi, Alberto Maria Metelli, Marcello Restelli
Information-Theoretic Regret Bounds for Bandits with Fixed Expert Advice. CoRR (2023)
Riccardo Poiani, Alberto Maria Metelli, Marcello Restelli
Truncating Trajectories in Monte Carlo Reinforcement Learning. CoRR (2023)
Alberto Maria Metelli, Filippo Lazzati, Marcello Restelli
Towards Theoretical Understanding of Inverse Reinforcement Learning. ICML (2023)
Riccardo Poiani, Alberto Maria Metelli, Marcello Restelli
Pure Exploration under Mediators' Feedback. CoRR (2023)
Paolo Bonetti, Alberto Maria Metelli, Marcello Restelli
Nonlinear Feature Aggregation: Two Algorithms driven by Theory. CoRR (2023)
Alberto Maria Metelli, Samuele Meta, Marcello Restelli
On the Relation between Policy Improvement and Off-Policy Minimum-Variance Policy Evaluation. UAI (2023)
Riccardo Poiani, Alberto Maria Metelli, Marcello Restelli
Multi-Fidelity Best-Arm Identification. NeurIPS (2022)
Marco Mussi, Davide Lombarda, Alberto Maria Metelli, Francesco Trovò, Marcello Restelli
ARLO: A Framework for Automated Reinforcement Learning. CoRR (2022)
Antonio Riva, Lorenzo Bisi, Pierre Liotet, Luca Sabbioni, Edoardo Vittori, Marco Pinciroli, Michele Trapletti, Marcello Restelli
Addressing Non-Stationarity in FX Trading with Online Model Selection of Offline RL Experts. ICAIF (2022)
Martino Bernasconi, Stefano Martino, Edoardo Vittori, Francesco Trovò, Marcello Restelli
Dark-Pool Smart Order Routing: a Combinatorial Multi-armed Bandit Approach. ICAIF (2022)
Matteo Papini, Matteo Pirotta, Marcello Restelli
Smoothing policies and safe policy gradients. Mach. Learn. 111 (11) (2022)
Mirco Mutti, Riccardo De Santi, Piersilvio De Bartolomeis, Marcello Restelli
Challenging Common Assumptions in Convex Reinforcement Learning. CoRR (2022)
Angelo Damiani, Giorgio Manganini, Alberto Maria Metelli, Marcello Restelli
Balancing Sample Efficiency and Suboptimality in Inverse Reinforcement Learning. ICML (2022)
Khaled Eldowa, Lorenzo Bisi, Marcello Restelli
Finite Sample Analysis of Mean-Volatility Actor-Critic for Risk-Averse Reinforcement Learning. AISTATS (2022)
Luca Sabbioni, Luca Al Daire, Lorenzo Bisi, Alberto Maria Metelli, Marcello Restelli
Simultaneously Updating All Persistence Values in Reinforcement Learning. CoRR (2022)
Pierre Liotet, Francesco Vidaich, Alberto Maria Metelli, Marcello Restelli
Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization. AAAI (2022)
Julen Cestero, Marco Quartulli, Alberto Maria Metelli, Marcello Restelli
Storehouse: a Reinforcement Learning Environment for Optimizing Warehouse Management. IJCNN (2022)
Davide Maran, Alberto Maria Metelli, Marcello Restelli
Tight Performance Guarantees of Imitator Policies with Continuous Actions. CoRR (2022)
Giulia Romano, Andrea Agostini, Francesco Trovò, Nicola Gatti, Marcello Restelli
Multi-Armed Bandit Problem with Temporally-Partitioned Rewards: When Partial Feedback Counts. IJCAI (2022)
Lorenzo Bisi, Davide Santambrogio, Federico Sandrelli, Andrea Tirinzoni, Brian D. Ziebart, Marcello Restelli
Risk-averse policy optimization via risk-neutral policy optimization. Artif. Intell. 311 (2022)
Pierre Liotet, Davide Maran, Lorenzo Bisi, Marcello Restelli
Delayed Reinforcement Learning by Imitation. CoRR (2022)
Alberto Maria Metelli, Guglielmo Manneschi, Marcello Restelli
Policy space identification in configurable environments. Mach. Learn. 111 (6) (2022)
Giulia Romano, Andrea Agostini, Francesco Trovò, Nicola Gatti, Marcello Restelli
Multi-Armed Bandit Problem with Temporally-Partitioned Rewards: When Partial Feedback Counts. CoRR (2022)
Alberto Maria Metelli, Francesco Trovò, Matteo Pirola, Marcello Restelli
Stochastic Rising Bandits. ICML (2022)
Mirco Mutti, Mattia Mancassola, Marcello Restelli
Unsupervised Reinforcement Learning in Multiple Environments. AAAI (2022)
Giorgia Ramponi, Marcello Restelli
Learning in Markov games: Can we exploit a general-sum opponent? UAI (2022)
Alessandro Nuara, Francesco Trovò, Nicola Gatti, Marcello Restelli
Online joint bid/daily budget optimization of Internet advertising campaigns. Artif. Intell. 305 (2022)
Mirco Mutti, Stefano Del Col, Marcello Restelli
Reward-Free Policy Space Compression for Reinforcement Learning. CoRR (2022)
Alberto Maria Metelli, Francesco Trovò, Matteo Pirola, Marcello Restelli
Stochastic Rising Bandits. CoRR (2022)
Marco Mussi, Alberto Maria Metelli, Marcello Restelli
Dynamical Linear Bandits. CoRR (2022)
Mirco Mutti, Riccardo De Santi, Emanuele Rossi, Juan Felipe Calderón, Michael Bronstein, Marcello Restelli
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization. CoRR (2022)
Mirco Mutti, Stefano Del Col, Marcello Restelli
Reward-Free Policy Space Compression for Reinforcement Learning. AISTATS (2022)
Lorenzo Moro, Amarildo Likmeta, Enrico Prati, Marcello Restelli
Goal-Directed Planning via Hindsight Experience Replay. ICLR (2022)
Francesco Bacchiocchi, Gianmarco Genalti, Davide Maran, Marco Mussi, Marcello Restelli, Nicola Gatti, Alberto Maria Metelli
Autoregressive Bandits. CoRR (2022)
Mirco Mutti, Riccardo De Santi, Marcello Restelli
The Importance of Non-Markovianity in Maximum State Entropy Exploration. CoRR (2022)
Sancho Salcedo-Sanz, Jorge Pérez-Aracil, Guido Ascenso, Javier Del Ser, David Casillas-Pérez, Christopher Kadow, Dusan Fister, David Barriopedro, Ricardo García-Herrera, Marcello Restelli, Matteo Giuliani, Andrea Castelletti
Analysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review. CoRR (2022)
Marco Mussi, Gianmarco Genalti, Alessandro Nuara, Francesco Trovò, Marcello Restelli, Nicola Gatti
Dynamic Pricing with Volume Discounts in Online Settings. CoRR (2022)
Mirco Mutti, Riccardo De Santi, Piersilvio De Bartolomeis, Marcello Restelli
Challenging Common Assumptions in Convex Reinforcement Learning. NeurIPS (2022)
Marco Mussi, Gianmarco Genalti, Francesco Trovò, Alessandro Nuara, Nicola Gatti, Marcello Restelli
Pricing the Long Tail by Explainable Product Aggregation and Monotonic Bandits. KDD (2022)
Julen Cestero, Marco Quartulli, Alberto Maria Metelli, Marcello Restelli
Storehouse: a Reinforcement Learning Environment for Optimizing Warehouse Management. CoRR (2022)
Conor F. Hayes, Roxana Radulescu, Eugenio Bargiacchi, Johan Källström, Matthew Macfarlane, Mathieu Reymond, Timothy Verstraeten, Luisa M. Zintgraf, Richard Dazeley, Fredrik Heintz, Enda Howley, Athirai A. Irissappane, Patrick Mannion, Ann Nowé, Gabriel de Oliveira Ramos, Marcello Restelli, Peter Vamplew, Diederik M. Roijers
A practical guide to multi-objective reinforcement learning and planning. Auton. Agents Multi Agent Syst. 36 (1) (2022)
Riccardo Poiani, Ciprian Stirbu, Alberto Maria Metelli, Marcello Restelli
Optimizing Empty Container Repositioning and Fleet Deployment via Configurable Semi-POMDPs. CoRR (2022)
Pierre Liotet, Davide Maran, Lorenzo Bisi, Marcello Restelli
Delayed Reinforcement Learning by Imitation. ICML (2022)
Nicolò Felicioni, Maurizio Ferrari Dacrema, Marcello Restelli, Paolo Cremonesi
Off-Policy Evaluation with Deficient Support Using Side Information. NeurIPS (2022)
Mirco Mutti, Riccardo De Santi, Marcello Restelli
The Importance of Non-Markovianity in Maximum State Entropy Exploration. ICML (2022)
Manuel Occorso, Luca Sabbioni, Alberto Maria Metelli, Marcello Restelli
Trust Region Meta Learning for Policy Optimization. Meta-Knowledge Transfer @ ECML/PKDD (2022)
Carlo D'Eramo, Andrea Cini, Alessandro Nuara, Matteo Pirotta, Cesare Alippi, Jan Peters, Marcello Restelli
Gaussian Approximation for Bias Reduction in Q-Learning. J. Mach. Learn. Res. 22 (2021)
Martino Bernasconi de Luca, Edoardo Vittori, Francesco Trovò, Marcello Restelli
Conservative Online Convex Optimization. ECML/PKDD (1) (2021)
Riccardo Poiani, Andrea Tirinzoni, Marcello Restelli
Meta-Reinforcement Learning by Tracking Task Non-stationarity. CoRR (2021)
Giuseppe Canonaco, Andrea Soprani, Matteo Giuliani, Andrea Castelletti, Manuel Roveri, Marcello Restelli
Time-variant variational transfer for value functions. UAI (2021)
Edoardo Vittori, Amarildo Likmeta, Marcello Restelli
Monte carlo tree search for trading and hedging. ICAIF (2021)
Matteo Papini, Andrea Tirinzoni, Aldo Pacchiano, Marcello Restelli, Alessandro Lazaric, Matteo Pirotta
Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection. NeurIPS (2021)

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Publication Activity (10 Years)

Top Topics

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Marcello Restelli