Andrea Tirinzoni
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
8
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models. | Andrea Tirinzoni, Ahmed Touati, Jesse Farebrother, Mateusz Guzek, Anssi Kanervisto, Yingchen Xu, Alessandro Lazaric, Matteo Pirotta |
| 2025 | ICML | Temporal Difference Flows. | Jesse Farebrother, Matteo Pirotta, Andrea Tirinzoni, Rmi Munos, Alessandro Lazaric, Ahmed Touati |
| 2024 | ICLR | Fast Imitation via Behavior Foundation Models. | Matteo Pirotta, Andrea Tirinzoni, Ahmed Touati, Alessandro Lazaric, Yann Ollivier |
| 2024 | ICML | Simple Ingredients for Offline Reinforcement Learning. | Edoardo Cetin, Andrea Tirinzoni, Matteo Pirotta, Alessandro Lazaric, Yann Ollivier, Ahmed Touati |
| 2023 | AISTATS | On the Complexity of Representation Learning in Contextual Linear Bandits. | Andrea Tirinzoni, Matteo Pirotta, Alessandro Lazaric |
| 2023 | ALT | Reaching Goals is Hard: Settling the Sample Complexity of the Stochastic Shortest Path. | Liyu Chen, Andrea Tirinzoni, Matteo Pirotta, Alessandro Lazaric |
| 2023 | ALT | Optimistic PAC Reinforcement Learning: the Instance-Dependent View. | Andrea Tirinzoni, Aymen Al Marjani, Emilie Kaufmann |
| 2023 | COLT | Active Coverage for PAC Reinforcement Learning. | Aymen Al Marjani, Andrea Tirinzoni, Emilie Kaufmann |
| 2023 | ICML | Layered State Discovery for Incremental Autonomous Exploration. | Liyu Chen, Andrea Tirinzoni, Alessandro Lazaric, Matteo Pirotta |
| 2021 | ICML | Leveraging Good Representations in Linear Contextual Bandits. | Matteo Papini, Andrea Tirinzoni, Marcello Restelli, Alessandro Lazaric, Matteo Pirotta |
| 2021 | IJCAI | Meta-Reinforcement Learning by Tracking Task Non-stationarity. | Riccardo Poiani, Andrea Tirinzoni, Marcello Restelli |
| 2020 | AAAI | Gradient-Aware Model-Based Policy Search. | Pierluca D'Oro, Alberto Maria Metelli, Andrea Tirinzoni, Matteo Papini, Marcello Restelli |
| 2020 | AISTATS | Truly Batch Model-Free Inverse Reinforcement Learning about Multiple Intentions. | Giorgia Ramponi, Amarildo Likmeta, Alberto Maria Metelli, Andrea Tirinzoni, Marcello Restelli |
| 2020 | AISTATS | A Novel Confidence-Based Algorithm for Structured Bandits. | Andrea Tirinzoni, Alessandro Lazaric, Marcello Restelli |
| 2020 | ICML | Sequential Transfer in Reinforcement Learning with a Generative Model. | Andrea Tirinzoni, Riccardo Poiani, Marcello Restelli |
| 2019 | ICML | Transfer of Samples in Policy Search via Multiple Importance Sampling. | Andrea Tirinzoni, Mattia Salvini, Marcello Restelli |
| 2019 | IJCNN | Feature Selection via Mutual Information: New Theoretical Insights. | Mario Beraha, Alberto Maria Metelli, Matteo Papini, Andrea Tirinzoni, Marcello Restelli |
| 2018 | ICML | Importance Weighted Transfer of Samples in Reinforcement Learning. | Andrea Tirinzoni, Andrea Sessa, Matteo Pirotta, Marcello Restelli |