Andrea Tirinzoni

57 papers A* 20A 3B 3Journal 30

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`	Active Coverage for PAC Reinforcement Learning. COLT Aymen Al Marjani, Andrea Tirinzoni, Emilie Kaufmann
2023	J	`jnl`	Active Coverage for PAC Reinforcement Learning. CoRR Aymen Al Marjani, Andrea Tirinzoni, Emilie Kaufmann
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`	Optimistic PAC Reinforcement Learning: the Instance-Dependent View. ALT Andrea Tirinzoni, Aymen Al Marjani, Emilie Kaufmann
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
2023	J	`jnl`	Towards Instance-Optimality in Online PAC Reinforcement Learning. CoRR Aymen Al Marjani, Andrea Tirinzoni, Emilie Kaufmann
2022	A*	`conf`	Near Instance-Optimal PAC Reinforcement Learning for Deterministic MDPs. NeurIPS Andrea Tirinzoni, Aymen Al Marjani, Emilie Kaufmann
2022	J	`jnl`	Near Instance-Optimal PAC Reinforcement Learning for Deterministic MDPs. CoRR Andrea Tirinzoni, Aymen Al Marjani, Emilie Kaufmann
2022	A*	`conf`	On Elimination Strategies for Bandit Fixed-Confidence Identification. NeurIPS Andrea Tirinzoni, Rémy Degenne
2022	J	`jnl`	On Elimination Strategies for Bandit Fixed-Confidence Identification. CoRR Andrea Tirinzoni, Rémy Degenne
2022	J	`jnl`	On the Complexity of Representation Learning in Contextual Linear Bandits. CoRR Andrea Tirinzoni, Matteo Pirotta, Alessandro Lazaric
2022	J	`jnl`	Optimistic PAC Reinforcement Learning: the Instance-Dependent View. CoRR Andrea Tirinzoni, Aymen Al Marjani, Emilie Kaufmann
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	J	`jnl`	Risk-averse policy optimization via risk-neutral policy optimization. Artif. Intell. Lorenzo Bisi, Davide Santambrogio, Federico Sandrelli, Andrea Tirinzoni, Brian D. Ziebart, Marcello Restelli
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
2021	J	`jnl`	A Fully Problem-Dependent Regret Lower Bound for Finite-Horizon MDPs. CoRR Andrea Tirinzoni, Matteo Pirotta, Alessandro Lazaric
2021	A*	`conf`	Dealing With Misspecification In Fixed-Confidence Linear Top-m Identification. NeurIPS Clémence Réda, Andrea Tirinzoni, Rémy Degenne
2021	J	`jnl`	Dealing With Misspecification In Fixed-Confidence Linear Top-m Identification. CoRR Clémence Réda, Andrea Tirinzoni, Rémy Degenne
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	—	`—`	Exploiting structure for transfer in reinforcement learning. Andrea Tirinzoni
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`	Meta-Reinforcement Learning by Tracking Task Non-stationarity. IJCAI Riccardo Poiani, Andrea Tirinzoni, Marcello Restelli
2021	J	`jnl`	Meta-Reinforcement Learning by Tracking Task Non-stationarity. CoRR Riccardo Poiani, Andrea Tirinzoni, Marcello Restelli
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
2020	A	`conf`	A Novel Confidence-Based Algorithm for Structured Bandits. AISTATS Andrea Tirinzoni, Alessandro Lazaric, Marcello Restelli
2020	J	`jnl`	A Novel Confidence-Based Algorithm for Structured Bandits. CoRR Andrea Tirinzoni, Alessandro Lazaric, Marcello Restelli
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`	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`	Gradient-Aware Model-Based Policy Search. AAAI Pierluca D'Oro, Alberto Maria Metelli, Andrea Tirinzoni, Matteo Papini, Marcello Restelli
2020	A*	`conf`	Sequential Transfer in Reinforcement Learning with a Generative Model. ICML Andrea Tirinzoni, Riccardo Poiani, Marcello Restelli
2020	J	`jnl`	Sequential Transfer in Reinforcement Learning with a Generative Model. CoRR Andrea Tirinzoni, Riccardo Poiani, 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`	Transfer of Samples in Policy Search via Multiple Importance Sampling. ICML Andrea Tirinzoni, Mattia Salvini, Marcello Restelli
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`	Policy-Conditioned Uncertainty Sets for Robust Markov Decision Processes. NeurIPS Andrea Tirinzoni, Marek Petrik, Xiangli Chen, Brian D. Ziebart
2018	A*	`conf`	Transfer of Value Functions via Variational Methods. NeurIPS Andrea Tirinzoni, Rafael Rodríguez-Sánchez, Marcello Restelli