Matteo Pirotta

110 papers A* 29A 8B 5Journal 57Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Compositional Planning with Jumpy World Models. CoRR Jesse Farebrother, Matteo Pirotta, Andrea Tirinzoni, Marc G. Bellemare, Alessandro Lazaric, Ahmed Touati
2025	J	`jnl`	BFM-Zero: A Promptable Behavioral Foundation Model for Humanoid Control Using Unsupervised Reinforcement Learning. CoRR Yitang Li, Zhengyi Luo, Tonghe Zhang, Cunxi Dai, Anssi Kanervisto, Andrea Tirinzoni, Haoyang Weng, Kris Kitani, Mateusz Guzek, Ahmed Touati, Alessandro Lazaric, Matteo Pirotta, Guanya Shi
2025	J	`jnl`	Fast Adaptation with Behavioral Foundation Models. CoRR Harshit Sikchi, Andrea Tirinzoni, Ahmed Touati, Yingchen Xu, Anssi Kanervisto, Scott Niekum, Amy Zhang, Alessandro Lazaric, Matteo Pirotta
2025	J	`jnl`	TD-JEPA: Latent-predictive Representations for Zero-Shot Reinforcement Learning. CoRR Marco Bagatella, Matteo Pirotta, Ahmed Touati, Alessandro Lazaric, Andrea Tirinzoni
2025	A*	`conf`	Temporal Difference Flows. ICML Jesse Farebrother, Matteo Pirotta, Andrea Tirinzoni, Rémi Munos, Alessandro Lazaric, Ahmed Touati
2025	J	`jnl`	Temporal Difference Flows. CoRR Jesse Farebrother, Matteo Pirotta, Andrea Tirinzoni, Rémi Munos, Alessandro Lazaric, Ahmed Touati
2025	A*	`conf`	Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models. ICLR Andrea Tirinzoni, Ahmed Touati, Jesse Farebrother, Mateusz Guzek, Anssi Kanervisto, Yingchen Xu, Alessandro Lazaric, Matteo Pirotta
2025	J	`jnl`	Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models. CoRR Andrea Tirinzoni, Ahmed Touati, Jesse Farebrother, Mateusz Guzek, Anssi Kanervisto, Yingchen Xu, Alessandro Lazaric, Matteo Pirotta
2024	A*	`conf`	Fast Imitation via Behavior Foundation Models. ICLR Matteo Pirotta, Andrea Tirinzoni, Ahmed Touati, Alessandro Lazaric, Yann Ollivier
2024	A*	`conf`	Simple Ingredients for Offline Reinforcement Learning. ICML Edoardo Cetin, Andrea Tirinzoni, Matteo Pirotta, Alessandro Lazaric, Yann Ollivier, Ahmed Touati
2024	J	`jnl`	Simple Ingredients for Offline Reinforcement Learning. CoRR Edoardo Cetin, Andrea Tirinzoni, Matteo Pirotta, Alessandro Lazaric, Yann Ollivier, Ahmed Touati
2023	A*	`conf`	Contextual bandits with concave rewards, and an application to fair ranking. ICLR Virginie Do, Elvis Dohmatob, Matteo Pirotta, Alessandro Lazaric, Nicolas Usunier
2023	J	`jnl`	Group Fairness in Reinforcement Learning. Trans. Mach. Learn. Res. Harsh Satija, Alessandro Lazaric, Matteo Pirotta, Joelle Pineau
2023	A*	`conf`	Layered State Discovery for Incremental Autonomous Exploration. ICML Liyu Chen, Andrea Tirinzoni, Alessandro Lazaric, Matteo Pirotta
2023	J	`jnl`	Layered State Discovery for Incremental Autonomous Exploration. CoRR Liyu Chen, Andrea Tirinzoni, Alessandro Lazaric, Matteo Pirotta
2023	A	`conf`	On the Complexity of Representation Learning in Contextual Linear Bandits. AISTATS Andrea Tirinzoni, Matteo Pirotta, Alessandro Lazaric
2023	B	`conf`	Reaching Goals is Hard: Settling the Sample Complexity of the Stochastic Shortest Path. ALT Liyu Chen, Andrea Tirinzoni, Matteo Pirotta, Alessandro Lazaric
2022	A*	`conf`	A Reduction-Based Framework for Conservative Bandits and Reinforcement Learning. ICLR Yunchang Yang, Tianhao Wu, Han Zhong, Evrard Garcelon, Matteo Pirotta, Alessandro Lazaric, Liwei Wang, Simon Shaolei Du
2022	A	`conf`	Adaptive Multi-Goal Exploration. AISTATS Jean Tarbouriech, Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta, Michal Valko, Alessandro Lazaric
2022	J	`jnl`	Contextual bandits with concave rewards, and an application to fair ranking. CoRR Virginie Do, Elvis Dohmatob, Matteo Pirotta, Alessandro Lazaric, Nicolas Usunier
2022	A	`conf`	Encrypted Linear Contextual Bandit. AISTATS Evrard Garcelon, Matteo Pirotta, Vianney Perchet
2022	J	`jnl`	Improved Adaptive Algorithm for Scalable Active Learning with Weak Labeler. CoRR Yifang Chen, Karthik Abinav Sankararaman, Alessandro Lazaric, Matteo Pirotta, Dmytro Karamshuk, Qifan Wang, Karishma Mandyam, Sinong Wang, Han Fang
2022	J	`jnl`	On the Complexity of Representation Learning in Contextual Linear Bandits. CoRR Andrea Tirinzoni, Matteo Pirotta, Alessandro Lazaric
2022	B	`conf`	Privacy Amplification via Shuffling for Linear Contextual Bandits. ALT Evrard Garcelon, Kamalika Chaudhuri, Vianney Perchet, Matteo Pirotta
2022	J	`jnl`	Reaching Goals is Hard: Settling the Sample Complexity of the Stochastic Shortest Path. CoRR Liyu Chen, Andrea Tirinzoni, Matteo Pirotta, Alessandro Lazaric
2022	A*	`conf`	Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees. NeurIPS Andrea Tirinzoni, Matteo Papini, Ahmed Touati, Alessandro Lazaric, Matteo Pirotta
2022	J	`jnl`	Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees. CoRR Andrea Tirinzoni, Matteo Papini, Ahmed Touati, Alessandro Lazaric, Matteo Pirotta
2022	J	`jnl`	Smoothing policies and safe policy gradients. Mach. Learn. Matteo Papini, Matteo Pirotta, Marcello Restelli
2022	A	`conf`	Top K Ranking for Multi-Armed Bandit with Noisy Evaluations. AISTATS Evrard Garcelon, Vashist Avadhanula, Alessandro Lazaric, Matteo Pirotta
2021	J	`jnl`	A Fully Problem-Dependent Regret Lower Bound for Finite-Horizon MDPs. CoRR Andrea Tirinzoni, Matteo Pirotta, Alessandro Lazaric
2021	A	`conf`	A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces. AISTATS Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta, Emilie Kaufmann, Michal Valko
2021	A*	`conf`	A Provably Efficient Sample Collection Strategy for Reinforcement Learning. NeurIPS Jean Tarbouriech, Matteo Pirotta, Michal Valko, Alessandro Lazaric
2021	J	`jnl`	A Unified Framework for Conservative Exploration. CoRR Yunchang Yang, Tianhao Wu, Han Zhong, Evrard Garcelon, Matteo Pirotta, Alessandro Lazaric, Liwei Wang, Simon S. Du
2021	J	`jnl`	Adaptive Multi-Goal Exploration. CoRR Jean Tarbouriech, Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta, Michal Valko, Alessandro Lazaric
2021	J	`jnl`	Differentially Private Exploration in Reinforcement Learning with Linear Representation. CoRR Paul Luyo, Evrard Garcelon, Alessandro Lazaric, Matteo Pirotta
2021	J	`jnl`	Gaussian Approximation for Bias Reduction in Q-Learning. J. Mach. Learn. Res. Carlo D'Eramo, Andrea Cini, Alessandro Nuara, Matteo Pirotta, Cesare Alippi, Jan Peters, Marcello Restelli
2021	J	`jnl`	Homomorphically Encrypted Linear Contextual Bandit. CoRR Evrard Garcelon, Vianney Perchet, Matteo Pirotta
2021	A*	`conf`	Kernel-Based Reinforcement Learning: A Finite-Time Analysis. ICML Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta, Emilie Kaufmann, Michal Valko
2021	A*	`conf`	Leveraging Good Representations in Linear Contextual Bandits. ICML Matteo Papini, Andrea Tirinzoni, Marcello Restelli, Alessandro Lazaric, Matteo Pirotta
2021	J	`jnl`	Leveraging Good Representations in Linear Contextual Bandits. CoRR Matteo Papini, Andrea Tirinzoni, Marcello Restelli, Alessandro Lazaric, Matteo Pirotta
2021	A*	`conf`	Local Differential Privacy for Regret Minimization in Reinforcement Learning. NeurIPS Evrard Garcelon, Vianney Perchet, Ciara Pike-Burke, Matteo Pirotta
2021	J	`jnl`	Privacy Amplification via Shuffling for Linear Contextual Bandits. CoRR Evrard Garcelon, Kamalika Chaudhuri, Vianney Perchet, Matteo Pirotta
2021	A*	`conf`	Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection. NeurIPS Matteo Papini, Andrea Tirinzoni, Aldo Pacchiano, Marcello Restelli, Alessandro Lazaric, Matteo Pirotta
2021	J	`jnl`	Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection. CoRR Matteo Papini, Andrea Tirinzoni, Aldo Pacchiano, Marcello Restelli, Alessandro Lazaric, Matteo Pirotta
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	B	`conf`	Sample Complexity Bounds for Stochastic Shortest Path with a Generative Model. ALT Jean Tarbouriech, Matteo Pirotta, Michal Valko, Alessandro Lazaric
2021	A*	`conf`	Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret. NeurIPS Jean Tarbouriech, Runlong Zhou, Simon S. Du, Matteo Pirotta, Michal Valko, Alessandro Lazaric
2021	J	`jnl`	Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret. CoRR Jean Tarbouriech, Runlong Zhou, Simon S. Du, Matteo Pirotta, Michal Valko, Alessandro Lazaric
2021	J	`jnl`	Top K Ranking for Multi-Armed Bandit with Noisy Evaluations. CoRR Evrard Garcelon, Vashist Avadhanula, Alessandro Lazaric, Matteo Pirotta
2020	J	`jnl`	A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces. CoRR Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta, Emilie Kaufmann, Michal Valko
2020	J	`jnl`	A Provably Efficient Sample Collection Strategy for Reinforcement Learning. CoRR Jean Tarbouriech, Matteo Pirotta, Michal Valko, Alessandro Lazaric
2020	A	`conf`	Active Model Estimation in Markov Decision Processes. UAI Jean Tarbouriech, Shubhanshu Shekhar, Matteo Pirotta, Mohammad Ghavamzadeh, Alessandro Lazaric
2020	J	`jnl`	Active Model Estimation in Markov Decision Processes. CoRR Jean Tarbouriech, Shubhanshu Shekhar, Matteo Pirotta, Mohammad Ghavamzadeh, Alessandro Lazaric
2020	A*	`conf`	Adversarial Attacks on Linear Contextual Bandits. NeurIPS Evrard Garcelon, Baptiste Rozière, Laurent Meunier, Jean Tarbouriech, Olivier Teytaud, Alessandro Lazaric, Matteo Pirotta
2020	J	`jnl`	Adversarial Attacks on Linear Contextual Bandits. CoRR Evrard Garcelon, Baptiste Rozière, Laurent Meunier, Jean Tarbouriech, Olivier Teytaud, Alessandro Lazaric, Matteo Pirotta
2020	A*	`conf`	An Asymptotically Optimal Primal-Dual Incremental Algorithm for Contextual Linear Bandits. NeurIPS Andrea Tirinzoni, Matteo Pirotta, Marcello Restelli, Alessandro Lazaric
2020	J	`jnl`	An Asymptotically Optimal Primal-Dual Incremental Algorithm for Contextual Linear Bandits. CoRR Andrea Tirinzoni, Matteo Pirotta, Marcello Restelli, Alessandro Lazaric
2020	J	`jnl`	Concentration Inequalities for Multinoulli Random Variables. CoRR Jian Qian, Ronan Fruit, Matteo Pirotta, Alessandro Lazaric
2020	A	`conf`	Conservative Exploration in Reinforcement Learning. AISTATS Evrard Garcelon, Mohammad Ghavamzadeh, Alessandro Lazaric, Matteo Pirotta
2020	J	`jnl`	Conservative Exploration in Reinforcement Learning. CoRR Evrard Garcelon, Mohammad Ghavamzadeh, Alessandro Lazaric, Matteo Pirotta
2020	J	`jnl`	Exploiting Language Instructions for Interpretable and Compositional Reinforcement Learning. CoRR Michiel van der Meer, Matteo Pirotta, Elia Bruni
2020	J	`jnl`	Exploration-Exploitation in Constrained MDPs. CoRR Yonathan Efroni, Shie Mannor, Matteo Pirotta
2020	A	`conf`	Frequentist Regret Bounds for Randomized Least-Squares Value Iteration. AISTATS Andrea Zanette, David Brandfonbrener, Emma Brunskill, Matteo Pirotta, Alessandro Lazaric
2020	A*	`conf`	Improved Algorithms for Conservative Exploration in Bandits. AAAI Evrard Garcelon, Mohammad Ghavamzadeh, Alessandro Lazaric, Matteo Pirotta
2020	J	`jnl`	Improved Algorithms for Conservative Exploration in Bandits. CoRR Evrard Garcelon, Mohammad Ghavamzadeh, Alessandro Lazaric, Matteo Pirotta
2020	J	`jnl`	Improved Analysis of UCRL2 with Empirical Bernstein Inequality. CoRR Ronan Fruit, Matteo Pirotta, Alessandro Lazaric
2020	A*	`conf`	Improved Sample Complexity for Incremental Autonomous Exploration in MDPs. NeurIPS Jean Tarbouriech, Matteo Pirotta, Michal Valko, Alessandro Lazaric
2020	J	`jnl`	Improved Sample Complexity for Incremental Autonomous Exploration in MDPs. CoRR Jean Tarbouriech, Matteo Pirotta, Michal Valko, Alessandro Lazaric
2020	J	`jnl`	Learning Adaptive Exploration Strategies in Dynamic Environments Through Informed Policy Regularization. CoRR Pierre-Alexandre Kamienny, Matteo Pirotta, Alessandro Lazaric, Thibault Lavril, Nicolas Usunier, Ludovic Denoyer
2020	J	`jnl`	Local Differentially Private Regret Minimization in Reinforcement Learning. CoRR Evrard Garcelon, Vianney Perchet, Ciara Pike-Burke, Matteo Pirotta
2020	A*	`conf`	No-Regret Exploration in Goal-Oriented Reinforcement Learning. ICML Jean Tarbouriech, Evrard Garcelon, Michal Valko, Matteo Pirotta, Alessandro Lazaric
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`	Regret Bounds for Kernel-Based Reinforcement Learning. CoRR Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta, Emilie Kaufmann, Michal Valko
2019	A*	`conf`	Exploration Bonus for Regret Minimization in Discrete and Continuous Average Reward MDPs. NeurIPS Jian Qian, Ronan Fruit, Matteo Pirotta, Alessandro Lazaric
2019	J	`jnl`	Frequentist Regret Bounds for Randomized Least-Squares Value Iteration. CoRR Andrea Zanette, David Brandfonbrener, Matteo Pirotta, Alessandro Lazaric
2019	J	`jnl`	No-Regret Exploration in Goal-Oriented Reinforcement Learning. CoRR Jean Tarbouriech, Evrard Garcelon, Michal Valko, Matteo Pirotta, Alessandro Lazaric
2019	A*	`conf`	Regret Bounds for Learning State Representations in Reinforcement Learning. NeurIPS Ronald Ortner, Matteo Pirotta, Alessandro Lazaric, Ronan Fruit, Odalric-Ambrym Maillard
2019	J	`jnl`	Smoothing Policies and Safe Policy Gradients. CoRR Matteo Papini, Matteo Pirotta, Marcello Restelli
2018	—	`conf`	Does Reinforcement Learning outperform PID in the control of FES-induced elbow flex-extension? MeMeA Davide Di Febbo, Emilia Ambrosini, Matteo Pirotta, Eric Rojas, Marcello Restelli, Alessandra Laura Giulia Pedrocchi, Simona Ferrante
2018	A*	`conf`	Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning. ICML Ronan Fruit, Matteo Pirotta, Alessandro Lazaric, Ronald Ortner
2018	J	`jnl`	Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning. CoRR Ronan Fruit, Matteo Pirotta, Alessandro Lazaric, Ronald Ortner
2018	J	`jnl`	Exploration Bonus for Regret Minimization in Undiscounted Discrete and Continuous Markov Decision Processes. CoRR Jian Qian, Ronan Fruit, Matteo Pirotta, Alessandro Lazaric
2018	A*	`conf`	Importance Weighted Transfer of Samples in Reinforcement Learning. ICML Andrea Tirinzoni, Andrea Sessa, Matteo Pirotta, Marcello Restelli
2018	J	`jnl`	Importance Weighted Transfer of Samples in Reinforcement Learning. CoRR Andrea Tirinzoni, Andrea Sessa, Matteo Pirotta, Marcello Restelli
2018	A*	`conf`	Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes. NeurIPS Ronan Fruit, Matteo Pirotta, Alessandro Lazaric
2018	J	`jnl`	Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes. CoRR Ronan Fruit, Matteo Pirotta, Alessandro Lazaric
2018	A*	`conf`	Stochastic Variance-Reduced Policy Gradient. ICML Matteo Papini, Damiano Binaghi, Giuseppe Canonaco, Matteo Pirotta, Marcello Restelli
2018	J	`jnl`	Stochastic Variance-Reduced Policy Gradient. CoRR Matteo Papini, Damiano Binaghi, Giuseppe Canonaco, Matteo Pirotta, Marcello Restelli
2017	—	`conf`	Adaptive Batch Size for Safe Policy Gradients. NIPS Matteo Papini, Matteo Pirotta, Marcello Restelli
2017	A*	`conf`	Boosted Fitted Q-Iteration. ICML Samuele Tosatto, Matteo Pirotta, Carlo D'Eramo, Marcello Restelli
2017	—	`conf`	Compatible Reward Inverse Reinforcement Learning. NIPS Alberto Maria Metelli, Matteo Pirotta, Marcello Restelli
2017	J	`jnl`	Cost-Sensitive Approach to Batch Size Adaptation for Gradient Descent. CoRR Matteo Pirotta, Marcello Restelli
2017	A*	`conf`	Estimating the Maximum Expected Value in Continuous Reinforcement Learning Problems. AAAI Carlo D'Eramo, Alessandro Nuara, Matteo Pirotta, Marcello Restelli
2017	—	`conf`	Gradient-based minimization for multi-expert Inverse Reinforcement Learning. SSCI Davide Tateo, Matteo Pirotta, Marcello Restelli, Andrea Bonarini
2017	J	`jnl`	Manifold-based multi-objective policy search with sample reuse. Neurocomputing Simone Parisi, Matteo Pirotta, Jan Peters
2017	—	`conf`	Regret Minimization in MDPs with Options without Prior Knowledge. NIPS Ronan Fruit, Matteo Pirotta, Alessandro Lazaric, Emma Brunskill
2016	A*	`conf`	Inverse Reinforcement Learning through Policy Gradient Minimization. AAAI Matteo Pirotta, Marcello Restelli
2016	J	`jnl`	Multi-objective Reinforcement Learning through Continuous Pareto Manifold Approximation. J. Artif. Intell. Res. Simone Parisi, Matteo Pirotta, Marcello Restelli
2016	J	`jnl`	Policy Search for the Optimal Control of Markov Decision Processes: A Novel Particle-Based Iterative Scheme. IEEE Trans. Cybern. Giorgio Manganini, Matteo Pirotta, Marcello Restelli, Luigi Piroddi, Maria Prandini
2016	—	`—`	Reinforcement learning: from theory to algorithms. Matteo Pirotta
2015	B	`conf`	Following Newton direction in Policy Gradient with parameter exploration. IJCNN Giorgio Manganini, Matteo Pirotta, Marcello Restelli, Luca Bascetta
2015	A*	`conf`	Multi-Objective Reinforcement Learning with Continuous Pareto Frontier Approximation. AAAI Matteo Pirotta, Simone Parisi, Marcello Restelli
2015	—	`conf`	Optimal control to reduce emissions in gasoline engines: an iterative learning control approach for ECU calibration maps improvement. ECC Danilo Caporale, Luca Deori, Roberto Mura, Alessandro Falsone, Riccardo Vignali, Luca Giulioni, Matteo Pirotta, Giorgio Manganini
2015	J	`jnl`	Policy gradient in Lipschitz Markov Decision Processes. Mach. Learn. Matteo Pirotta, Marcello Restelli, Luca Bascetta
2014	J	`jnl`	Multi-objective Reinforcement Learning with Continuous Pareto Frontier Approximation. CoRR Matteo Pirotta, Simone Parisi, Marcello Restelli
2014	B	`conf`	Policy gradient approaches for multi-objective sequential decision making. IJCNN Simone Parisi, Matteo Pirotta, Nicola Smacchia, Luca Bascetta, Marcello Restelli
2014	—	`conf`	Policy gradient approaches for multi-objective sequential decision making: A comparison. ADPRL Simone Parisi, Matteo Pirotta, Nicola Smacchia, Luca Bascetta, Marcello Restelli
2013	—	`conf`	Adaptive Step-Size for Policy Gradient Methods. NIPS Matteo Pirotta, Marcello Restelli, Luca Bascetta
2013	—	`conf`	Safe Policy Iteration. ICML (3) Matteo Pirotta, Marcello Restelli, Alessio Pecorino, Daniele Calandriello
2011	—	`conf`	Fitted policy search. ADPRL Martino Migliavacca, Alessio Pecorino, Matteo Pirotta, Marcello Restelli, Andrea Bonarini