Alberto Maria Metelli

149 papers A* 44A 7B 5C 1Journal 87Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Refined Analysis of UCBVI. CoRR Simone Drago, Marco Mussi, Alberto Maria Metelli
2025	J	`jnl`	AReS: A patient simulator to facilitate testing of automated anesthesia. Comput. Methods Programs Biomed. Sara Hosseinirad, Manuela Merlo, Francesco Trovò, Emiliano Tognoli, Alberto Maria Metelli, Guy Albert Dumont
2025	A	`conf`	Achieving $\widetilde{\mathcal{O}}(\sqrt{T})$ Regret in Average-Reward POMDPs with Known Observation Models. AISTATS Alessio Russo, Alberto Maria Metelli, Marcello Restelli
2025	J	`jnl`	Achieving ~O(√T) Regret in Average-Reward POMDPs with Known Observation Models. CoRR Alessio Russo, Alberto Maria Metelli, Marcello Restelli
2025	J	`jnl`	Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits. CoRR Gianmarco Genalti, Sujay Bhatt, Nicola Gatti, Alberto Maria Metelli
2025	A*	`conf`	Convergence Analysis of Policy Gradient Methods with Dynamic Stochasticity. ICML Alessandro Montenegro, Marco Mussi, Matteo Papini, Alberto Maria Metelli
2025	A	`conf`	Efficient Exploitation of Hierarchical Structure in Sparse Reward Reinforcement Learning. AISTATS Gianluca Drappo, Arnaud Robert, Marcello Restelli, Aldo A. Faisal, Alberto Maria Metelli, Ciara Pike-Burke
2025	J	`jnl`	Factored-reward bandits with intermediate observations: Regret minimization and best arm identification. Artif. Intell. Marco Mussi, Simone Drago, Marcello Restelli, Alberto Maria Metelli
2025	J	`jnl`	Generalized Kernelized Bandits: Self-Normalized Bernstein-Like Dimension-Free Inequality and Regret Bounds. CoRR Alberto Maria Metelli, Simone Drago, Marco Mussi
2025	J	`jnl`	Generalizing Behavior via Inverse Reinforcement Learning with Closed-Form Reward Centroids. CoRR Filippo Lazzati, Alberto Maria Metelli
2025	J	`jnl`	Generalizing the Regret: an Analysis of Lower and Upper Bounds. J. Artif. Intell. Res. Marco Mussi, Alberto Maria Metelli
2025	J	`jnl`	Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning. CoRR Davide Salaorni, Vincenzo De Paola, Samuele Delpero, Giovanni Dispoto, Paolo Bonetti, Alessio Russo, Giuseppe Calcagno, Francesco Trovò, Matteo Papini, Alberto Maria Metelli, Marco Mussi, Marcello Restelli
2025	J	`jnl`	Imitation Learning as Return Distribution Matching. CoRR Filippo Lazzati, Alberto Maria Metelli
2025	J	`jnl`	Learning Deterministic Policies with Policy Gradients in Constrained Markov Decision Processes. CoRR Alessandro Montenegro, Leonardo Cesani, Marco Mussi, Matteo Papini, Alberto Maria Metelli
2025	A*	`conf`	Learning Utilities from Demonstrations in Markov Decision Processes. ICML Filippo Lazzati, Alberto Maria Metelli
2025	J	`jnl`	Minimax off-policy evaluation and learning with subgaussian and differentiable importance weighting. Artif. Intell. Alberto Maria Metelli, Alessio Russo, Marcello Restelli
2025	J	`jnl`	On the Partial Identifiability in Reward Learning: Choosing the Best Reward. CoRR Filippo Lazzati, Alberto Maria Metelli
2025	A*	`conf`	Open Problem: Regret Minimization in Heavy-Tailed Bandits with Unknown Distributional Parameters. COLT Gianmarco Genalti, Alberto Maria Metelli
2025	—	`conf`	Position: Constants are Critical in Regret Bounds for Reinforcement Learning. ICML (Position Papers) Simone Drago, Marco Mussi, Alberto Maria Metelli
2025	J	`jnl`	Power Grid Control with Graph-Based Distributed Reinforcement Learning. CoRR Carlo Fabrizio, Gianvito Losapio, Marco Mussi, Alberto Maria Metelli, Marcello Restelli
2025	J	`jnl`	Reusing Trajectories in Policy Gradients Enables Fast Convergence. CoRR Alessandro Montenegro, Federico Mansutti, Marco Mussi, Matteo Papini, Alberto Maria Metelli
2025	J	`jnl`	Reward Compatibility: A Framework for Inverse RL. CoRR Filippo Lazzati, Mirco Mutti, Alberto Maria Metelli
2025	J	`jnl`	Search or split: policy gradient with adaptive policy space. Mach. Learn. Gianmarco Tedeschi, Matteo Papini, Alberto Maria Metelli, Marcello Restelli
2025	A*	`conf`	Sleeping Reinforcement Learning. ICML Simone Drago, Marco Mussi, Alberto Maria Metelli
2025	J	`jnl`	Thompson Sampling-like Algorithms for Stochastic Rising Bandits. CoRR Marco Fiandri, Alberto Maria Metelli, Francesco Trovò
2025	A*	`conf`	Towards Theoretical Understanding of Sequential Decision Making with Preference Feedback. ICML Simone Drago, Marco Mussi, Alberto Maria Metelli
2024	A*	`conf`	(ε, u)-Adaptive Regret Minimization in Heavy-Tailed Bandits. COLT Gianmarco Genalti, Lupo Marsigli, Nicola Gatti, Alberto Maria Metelli
2024	J	`jnl`	A Provably Efficient Option-Based Algorithm for both High-Level and Low-Level Learning. RLJ Gianluca Drappo, Alberto Maria Metelli, Marcello Restelli
2024	J	`jnl`	A Provably Efficient Option-Based Algorithm for both High-Level and Low-Level Learning. CoRR Gianluca Drappo, Alberto Maria Metelli, Marcello Restelli
2024	A	`conf`	Autoregressive Bandits. AISTATS Francesco Bacchiocchi, Gianmarco Genalti, Davide Maran, Marco Mussi, Marcello Restelli, Nicola Gatti, Alberto Maria Metelli
2024	A*	`conf`	Best Arm Identification for Stochastic Rising Bandits. ICML Marco Mussi, Alessandro Montenegro, Francesco Trovò, Marcello Restelli, Alberto Maria Metelli
2024	J	`jnl`	Bridging Rested and Restless Bandits with Graph-Triggering: Rising and Rotting. CoRR Gianmarco Genalti, Marco Mussi, Nicola Gatti, Marcello Restelli, Matteo Castiglioni, Alberto Maria Metelli
2024	B	`conf`	Causal Feature Selection via Transfer Entropy. IJCNN Paolo Bonetti, Alberto Maria Metelli, Marcello Restelli
2024	A	`conf`	Dissimilarity Bandits. AISTATS Paolo Battellani, Alberto Maria Metelli, Francesco Trovò
2024	J	`jnl`	Efficient Learning of POMDPs with Known Observation Model in Average-Reward Setting. CoRR Alessio Russo, Alberto Maria Metelli, Marcello Restelli
2024	A*	`conf`	Factored-Reward Bandits with Intermediate Observations. ICML Marco Mussi, Simone Drago, Marcello Restelli, Alberto Maria Metelli
2024	A*	`conf`	Graph-Triggered Rising Bandits. ICML Gianmarco Genalti, Marco Mussi, Nicola Gatti, Marcello Restelli, Matteo Castiglioni, Alberto Maria Metelli
2024	A*	`conf`	How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach. NeurIPS Filippo Lazzati, Mirco Mutti, Alberto Maria Metelli
2024	J	`jnl`	How to Scale Inverse RL to Large State Spaces? A Provably Efficient Approach. CoRR Filippo Lazzati, Mirco Mutti, Alberto Maria Metelli
2024	J	`jnl`	Information Capacity Regret Bounds for Bandits with Mediator Feedback. CoRR Khaled Eldowa, Nicolò Cesa-Bianchi, Alberto Maria Metelli, Marcello Restelli
2024	J	`jnl`	Information Capacity Regret Bounds for Bandits with Mediator Feedback. J. Mach. Learn. Res. Khaled Eldowa, Nicolò Cesa-Bianchi, Alberto Maria Metelli, Marcello Restelli
2024	J	`jnl`	Interpetable Target-Feature Aggregation for Multi-Task Learning based on Bias-Variance Analysis. CoRR Paolo Bonetti, Alberto Maria Metelli, Marcello Restelli
2024	—	`conf`	Interpetable Target-Feature Aggregation for Multi-task Learning Based on Bias-Variance Analysis. ECML/PKDD (6) Paolo Bonetti, Alberto Maria Metelli, Marcello Restelli
2024	J	`jnl`	Interpretable linear dimensionality reduction based on bias-variance analysis. Data Min. Knowl. Discov. Paolo Bonetti, Alberto Maria Metelli, Marcello Restelli
2024	J	`jnl`	Inverse Reinforcement Learning with Sub-optimal Experts. CoRR Riccardo Poiani, Gabriele Curti, Alberto Maria Metelli, Marcello Restelli
2024	A*	`conf`	Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning. NeurIPS Alessandro Montenegro, Marco Mussi, Matteo Papini, Alberto Maria Metelli
2024	J	`jnl`	Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning. CoRR Alessandro Montenegro, Marco Mussi, Matteo Papini, Alberto Maria Metelli
2024	A*	`conf`	Learning Optimal Deterministic Policies with Stochastic Policy Gradients. ICML Alessandro Montenegro, Marco Mussi, Alberto Maria Metelli, Matteo Papini
2024	J	`jnl`	Learning Optimal Deterministic Policies with Stochastic Policy Gradients. CoRR Alessandro Montenegro, Marco Mussi, Alberto Maria Metelli, Matteo Papini
2024	J	`jnl`	Learning Utilities from Demonstrations in Markov Decision Processes. CoRR Filippo Lazzati, Alberto Maria Metelli
2024	A*	`conf`	Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs. NeurIPS Davide Maran, Alberto Maria Metelli, Matteo Papini, Marcello Restelli
2024	J	`jnl`	Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs. CoRR Davide Maran, Alberto Maria Metelli, Matteo Papini, Marcello Restelli
2024	A*	`conf`	No-Regret Reinforcement Learning in Smooth MDPs. ICML Davide Maran, Alberto Maria Metelli, Matteo Papini, Marcello Restelli
2024	J	`jnl`	No-Regret Reinforcement Learning in Smooth MDPs. CoRR Davide Maran, Alberto Maria Metelli, Matteo Papini, Marcello Restelli
2024	A*	`conf`	Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms. ICML Filippo Lazzati, Mirco Mutti, Alberto Maria Metelli
2024	J	`jnl`	Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms. CoRR Filippo Lazzati, Mirco Mutti, Alberto Maria Metelli
2024	A*	`conf`	Online Learning with Off-Policy Feedback in Adversarial MDPs. IJCAI Francesco Bacchiocchi, Francesco Emanuele Stradi, Matteo Papini, Alberto Maria Metelli, Nicola Gatti
2024	J	`jnl`	Open Problem: Tight Bounds for Kernelized Multi-Armed Bandits with Bernoulli Rewards. CoRR Marco Mussi, Simone Drago, Alberto Maria Metelli
2024	A*	`conf`	Optimal Multi-Fidelity Best-Arm Identification. NeurIPS Riccardo Poiani, Rémy Degenne, Emilie Kaufmann, Alberto Maria Metelli, Marcello Restelli
2024	J	`jnl`	Optimal Multi-Fidelity Best-Arm Identification. CoRR Riccardo Poiani, Rémy Degenne, Emilie Kaufmann, Alberto Maria Metelli, Marcello Restelli
2024	J	`jnl`	Optimizing Empty Container Repositioning and Fleet Deployment via Configurable Semi-POMDPs. IEEE Trans. Intell. Transp. Syst. Riccardo Poiani, Ciprian Stirbu, Alberto Maria Metelli, Marcello Restelli
2024	A*	`conf`	Parameterized Projected Bellman Operator. AAAI Théo Vincent, Alberto Maria Metelli, Boris Belousov, Jan Peters, Marcello Restelli, Carlo D'Eramo
2024	J	`jnl`	Performance Improvement Bounds for Lipschitz Configurable Markov Decision Processes. CoRR Alberto Maria Metelli
2024	J	`jnl`	Policy Gradient with Active Importance Sampling. RLJ Matteo Papini, Giorgio Manganini, Alberto Maria Metelli, Marcello Restelli
2024	J	`jnl`	Policy Gradient with Active Importance Sampling. CoRR Matteo Papini, Giorgio Manganini, Alberto Maria Metelli, Marcello Restelli
2024	A*	`conf`	Projection by Convolution: Optimal Sample Complexity for Reinforcement Learning in Continuous-Space MDPs. COLT Davide Maran, Alberto Maria Metelli, Matteo Papini, Marcello Restelli
2024	J	`jnl`	Projection by Convolution: Optimal Sample Complexity for Reinforcement Learning in Continuous-Space MDPs. CoRR Davide Maran, Alberto Maria Metelli, Matteo Papini, Marcello Restelli
2024	A*	`conf`	Recent Advancements in Inverse Reinforcement Learning. AAAI Alberto Maria Metelli
2024	J	`jnl`	Rising Rested Bandits: Lower Bounds and Efficient Algorithms. CoRR Marco Fiandri, Alberto Maria Metelli, Francesco Trovò
2024	J	`jnl`	Sample complexity of variance-reduced policy gradient: weaker assumptions and lower bounds. Mach. Learn. Gabor Paczolay, Matteo Papini, Alberto Maria Metelli, István Á. Harmati, Marcello Restelli
2024	J	`jnl`	Sliding-Window Thompson Sampling for Non-Stationary Settings. CoRR Marco Fiandri, Alberto Maria Metelli, Francesco Trovò
2024	J	`jnl`	State and Action Factorization in Power Grids. CoRR Gianvito Losapio, Davide Beretta, Marco Mussi, Alberto Maria Metelli, Marcello Restelli
2024	J	`jnl`	Statistical Analysis of Policy Space Compression Problem. CoRR Majid Molaei, Marcello Restelli, Alberto Maria Metelli, Matteo Papini
2024	A*	`conf`	Sub-optimal Experts mitigate Ambiguity in Inverse Reinforcement Learning. NeurIPS Riccardo Poiani, Gabriele Curti, Alberto Maria Metelli, Marcello Restelli
2024	J	`jnl`	Switching Latent Bandits. Trans. Mach. Learn. Res. Alessio Russo, Alberto Maria Metelli, Marcello Restelli
2024	B	`conf`	The Power of Hybrid Learning in Industrial Robotics: Efficient Grasping Strategies with Supervised-Driven Reinforcement Learning. IJCNN Vincenzo De Paola, Giuseppe Calcagno, Alberto Maria Metelli, Marcello Restelli
2024	C	`conf`	Transfer Learning for Dynamical Systems Models via Autoencoders and GANs. ACC Angelo Damiani, Gustavo Viera-López, Giorgio Manganini, Alberto Maria Metelli, Marcello Restelli
2024	J	`jnl`	Truncating Trajectories in Monte Carlo Policy Evaluation: an Adaptive Approach. CoRR Riccardo Poiani, Nicole Nobili, Alberto Maria Metelli, Marcello Restelli
2023	A	`conf`	A Tale of Sampling and Estimation in Discounted Reinforcement Learning. AISTATS Alberto Maria Metelli, Mirco Mutti, Marcello Restelli
2023	J	`jnl`	A Tale of Sampling and Estimation in Discounted Reinforcement Learning. CoRR Alberto Maria Metelli, Mirco Mutti, Marcello Restelli
2023	J	`jnl`	ARLO: A framework for Automated Reinforcement Learning. Expert Syst. Appl. Marco Mussi, Davide Lombarda, Alberto Maria Metelli, Francesco Trovò, Marcello Restelli
2023	J	`jnl`	An Option-Dependent Analysis of Regret Minimization Algorithms in Finite-Horizon Semi-MDP. Trans. Mach. Learn. Res. Gianluca Drappo, Alberto Maria Metelli, Marcello Restelli
2023	J	`jnl`	An Option-Dependent Analysis of Regret Minimization Algorithms in Finite-Horizon Semi-Markov Decision Processes. CoRR Gianluca Drappo, Alberto Maria Metelli, Marcello Restelli
2023	J	`jnl`	Best Arm Identification for Stochastic Rising Bandits. CoRR Marco Mussi, Alessandro Montenegro, Francesco Trovò, Marcello Restelli, Alberto Maria Metelli
2023	J	`jnl`	Causal Feature Selection via Transfer Entropy. CoRR Paolo Bonetti, Alberto Maria Metelli, Marcello Restelli
2023	A*	`conf`	Distributional Policy Evaluation: a Maximum Entropy approach to Representation Learning. NeurIPS Riccardo Zamboni, Alberto Maria Metelli, Marcello Restelli
2023	A*	`conf`	Dynamical Linear Bandits. ICML Marco Mussi, Alberto Maria Metelli, Marcello Restelli
2023	J	`jnl`	IWDA: Importance Weighting for Drift Adaptation in Streaming Supervised Learning Problems. IEEE Trans. Neural Networks Learn. Syst. Filippo Fedeli, Alberto Maria Metelli, Francesco Trovò, Marcello Restelli
2023	B	`conf`	Information-Theoretic Regret Bounds for Bandits with Fixed Expert Advice. ITW Khaled Eldowa, Nicolò Cesa-Bianchi, Alberto Maria Metelli, Marcello Restelli
2023	J	`jnl`	Information-Theoretic Regret Bounds for Bandits with Fixed Expert Advice. CoRR Khaled Eldowa, Nicolò Cesa-Bianchi, Alberto Maria Metelli, Marcello Restelli
2023	J	`jnl`	Interpretable Linear Dimensionality Reduction based on Bias-Variance Analysis. CoRR Paolo Bonetti, Alberto Maria Metelli, Marcello Restelli
2023	J	`jnl`	Nonlinear Feature Aggregation: Two Algorithms driven by Theory. CoRR Paolo Bonetti, Alberto Maria Metelli, Marcello Restelli
2023	A	`conf`	On the Relation between Policy Improvement and Off-Policy Minimum-Variance Policy Evaluation. UAI Alberto Maria Metelli, Samuele Meta, Marcello Restelli
2023	J	`jnl`	Parameterized Projected Bellman Operator. CoRR Théo Vincent, Alberto Maria Metelli, Boris Belousov, Jan Peters, Marcello Restelli, Carlo D'Eramo
2023	J	`jnl`	Pure Exploration under Mediators' Feedback. CoRR Riccardo Poiani, Alberto Maria Metelli, Marcello Restelli
2023	A*	`conf`	Simultaneously Updating All Persistence Values in Reinforcement Learning. AAAI Luca Sabbioni, Luca Al Daire, Lorenzo Bisi, Alberto Maria Metelli, Marcello Restelli
2023	A*	`conf`	Tight Performance Guarantees of Imitator Policies with Continuous Actions. AAAI Davide Maran, Alberto Maria Metelli, Marcello Restelli
2023	J	`jnl`	Towards Fully Adaptive Regret Minimization in Heavy-Tailed Bandits. CoRR Gianmarco Genalti, Lupo Marsigli, Nicola Gatti, Alberto Maria Metelli
2023	A*	`conf`	Towards Theoretical Understanding of Inverse Reinforcement Learning. ICML Alberto Maria Metelli, Filippo Lazzati, Marcello Restelli
2023	J	`jnl`	Towards Theoretical Understanding of Inverse Reinforcement Learning. CoRR Alberto Maria Metelli, Filippo Lazzati, Marcello Restelli
2023	A*	`conf`	Truncating Trajectories in Monte Carlo Policy Evaluation: an Adaptive Approach. NeurIPS Riccardo Poiani, Nicole Nobili, Alberto Maria Metelli, Marcello Restelli
2023	A*	`conf`	Truncating Trajectories in Monte Carlo Reinforcement Learning. ICML Riccardo Poiani, Alberto Maria Metelli, Marcello Restelli
2023	J	`jnl`	Truncating Trajectories in Monte Carlo Reinforcement Learning. CoRR Riccardo Poiani, Alberto Maria Metelli, Marcello Restelli
2023	A*	`conf`	Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control. AAAI Amarildo Likmeta, Matteo Sacco, Alberto Maria Metelli, Marcello Restelli
2023	J	`jnl`	Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control. CoRR Amarildo Likmeta, Matteo Sacco, Alberto Maria Metelli, Marcello Restelli
2022	J	`jnl`	A unified view of configurable Markov Decision Processes: Solution concepts, value functions, and operators. Intelligenza Artificiale Alberto Maria Metelli
2022	J	`jnl`	ARLO: A Framework for Automated Reinforcement Learning. CoRR Marco Mussi, Davide Lombarda, Alberto Maria Metelli, Francesco Trovò, Marcello Restelli
2022	J	`jnl`	Autoregressive Bandits. CoRR Francesco Bacchiocchi, Gianmarco Genalti, Davide Maran, Marco Mussi, Marcello Restelli, Nicola Gatti, Alberto Maria Metelli
2022	A*	`conf`	Balancing Sample Efficiency and Suboptimality in Inverse Reinforcement Learning. ICML Angelo Damiani, Giorgio Manganini, Alberto Maria Metelli, Marcello Restelli
2022	J	`jnl`	Dynamical Linear Bandits. CoRR Marco Mussi, Alberto Maria Metelli, Marcello Restelli
2022	—	`book`	Exploiting environment configurability in reinforcement learning. Alberto Maria Metelli
2022	A*	`conf`	Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization. AAAI Pierre Liotet, Francesco Vidaich, Alberto Maria Metelli, Marcello Restelli
2022	A*	`conf`	Multi-Fidelity Best-Arm Identification. NeurIPS Riccardo Poiani, Alberto Maria Metelli, Marcello Restelli
2022	J	`jnl`	Optimizing Empty Container Repositioning and Fleet Deployment via Configurable Semi-POMDPs. CoRR Riccardo Poiani, Ciprian Stirbu, Alberto Maria Metelli, Marcello Restelli
2022	J	`jnl`	Policy space identification in configurable environments. Mach. Learn. Alberto Maria Metelli, Guglielmo Manneschi, Marcello Restelli
2022	J	`jnl`	Simultaneously Updating All Persistence Values in Reinforcement Learning. CoRR Luca Sabbioni, Luca Al Daire, Lorenzo Bisi, Alberto Maria Metelli, Marcello Restelli
2022	A*	`conf`	Stochastic Rising Bandits. ICML Alberto Maria Metelli, Francesco Trovò, Matteo Pirola, Marcello Restelli
2022	J	`jnl`	Stochastic Rising Bandits. CoRR Alberto Maria Metelli, Francesco Trovò, Matteo Pirola, Marcello Restelli
2022	B	`conf`	Storehouse: a Reinforcement Learning Environment for Optimizing Warehouse Management. IJCNN Julen Cestero, Marco Quartulli, Alberto Maria Metelli, Marcello Restelli
2022	J	`jnl`	Storehouse: a Reinforcement Learning Environment for Optimizing Warehouse Management. CoRR Julen Cestero, Marco Quartulli, Alberto Maria Metelli, Marcello Restelli
2022	J	`jnl`	Tight Performance Guarantees of Imitator Policies with Continuous Actions. CoRR Davide Maran, Alberto Maria Metelli, Marcello Restelli
2022	—	`conf`	Trust Region Meta Learning for Policy Optimization. Meta-Knowledge Transfer @ ECML/PKDD Manuel Occorso, Luca Sabbioni, Alberto Maria Metelli, Marcello Restelli
2021	J	`jnl`	Dealing with multiple experts and non-stationarity in inverse reinforcement learning: an application to real-life problems. Mach. Learn. Amarildo Likmeta, Alberto Maria Metelli, Giorgia Ramponi, Andrea Tirinzoni, Matteo Giuliani, Marcello Restelli
2021	A*	`conf`	Learning in Non-Cooperative Configurable Markov Decision Processes. NeurIPS Giorgia Ramponi, Alberto Maria Metelli, Alessandro Concetti, Marcello Restelli
2021	J	`jnl`	Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization. CoRR Pierre Liotet, Francesco Vidaich, Alberto Maria Metelli, Marcello Restelli
2021	A*	`conf`	Policy Optimization as Online Learning with Mediator Feedback. AAAI Alberto Maria Metelli, Matteo Papini, Pierluca D'Oro, Marcello Restelli
2021	A*	`conf`	Provably Efficient Learning of Transferable Rewards. ICML Alberto Maria Metelli, Giorgia Ramponi, Alessandro Concetti, Marcello Restelli
2021	J	`jnl`	Safe Policy Iteration: A Monotonically Improving Approximate Policy Iteration Approach. J. Mach. Learn. Res. Alberto Maria Metelli, Matteo Pirotta, Daniele Calandriello, Marcello Restelli
2021	A*	`conf`	Subgaussian and Differentiable Importance Sampling for Off-Policy Evaluation and Learning. NeurIPS Alberto Maria Metelli, Alessio Russo, Marcello Restelli
2020	J	`jnl`	Combining reinforcement learning with rule-based controllers for transparent and general decision-making in autonomous driving. Robotics Auton. Syst. Amarildo Likmeta, Alberto Maria Metelli, Andrea Tirinzoni, Riccardo Giol, Marcello Restelli, Danilo Romano
2020	A*	`conf`	Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning. ICML Alberto Maria Metelli, Flavio Mazzolini, Lorenzo Bisi, Luca Sabbioni, Marcello Restelli
2020	J	`jnl`	Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning. CoRR Alberto Maria Metelli, Flavio Mazzolini, Lorenzo Bisi, Luca Sabbioni, Marcello Restelli
2020	A*	`conf`	Gradient-Aware Model-Based Policy Search. AAAI Pierluca D'Oro, Alberto Maria Metelli, Andrea Tirinzoni, Matteo Papini, Marcello Restelli
2020	J	`jnl`	Importance Sampling Techniques for Policy Optimization. J. Mach. Learn. Res. Alberto Maria Metelli, Matteo Papini, Nico Montali, Marcello Restelli
2020	J	`jnl`	On the use of the policy gradient and Hessian in inverse reinforcement learning. Intelligenza Artificiale Alberto Maria Metelli, Matteo Pirotta, Marcello Restelli
2020	J	`jnl`	Policy Optimization as Online Learning with Mediator Feedback. CoRR Alberto Maria Metelli, Matteo Papini, Pierluca D'Oro, Marcello Restelli
2020	A	`conf`	Truly Batch Model-Free Inverse Reinforcement Learning about Multiple Intentions. AISTATS Giorgia Ramponi, Amarildo Likmeta, Alberto Maria Metelli, Andrea Tirinzoni, Marcello Restelli
2019	B	`conf`	Feature Selection via Mutual Information: New Theoretical Insights. IJCNN Mario Beraha, Alberto Maria Metelli, Matteo Papini, Andrea Tirinzoni, Marcello Restelli
2019	J	`jnl`	Feature Selection via Mutual Information: New Theoretical Insights. CoRR Mario Beraha, Alberto Maria Metelli, Matteo Papini, Andrea Tirinzoni, Marcello Restelli
2019	J	`jnl`	Gradient-Aware Model-based Policy Search. CoRR Pierluca D'Oro, Alberto Maria Metelli, Andrea Tirinzoni, Matteo Papini, Marcello Restelli
2019	A*	`conf`	Optimistic Policy Optimization via Multiple Importance Sampling. ICML Matteo Papini, Alberto Maria Metelli, Lorenzo Lupo, Marcello Restelli
2019	J	`jnl`	Policy Space Identification in Configurable Environments. CoRR Alberto Maria Metelli, Guglielmo Manneschi, Marcello Restelli
2019	A*	`conf`	Propagating Uncertainty in Reinforcement Learning via Wasserstein Barycenters. NeurIPS Alberto Maria Metelli, Amarildo Likmeta, Marcello Restelli
2019	A*	`conf`	Reinforcement Learning in Configurable Continuous Environments. ICML Alberto Maria Metelli, Emanuele Ghelfi, Marcello Restelli
2018	A*	`conf`	Configurable Markov Decision Processes. ICML Alberto Maria Metelli, Mirco Mutti, Marcello Restelli
2018	J	`jnl`	Configurable Markov Decision Processes. CoRR Alberto Maria Metelli, Mirco Mutti, Marcello Restelli
2018	A*	`conf`	Policy Optimization via Importance Sampling. NeurIPS Alberto Maria Metelli, Matteo Papini, Francesco Faccio, Marcello Restelli
2018	J	`jnl`	Policy Optimization via Importance Sampling. CoRR Alberto Maria Metelli, Matteo Papini, Francesco Faccio, Marcello Restelli
2017	—	`conf`	Compatible Reward Inverse Reinforcement Learning. NIPS Alberto Maria Metelli, Matteo Pirotta, Marcello Restelli