Matteo Papini
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
7
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Do It for HER: First-Order Temporal Logic Reward Specification in Reinforcement Learning. | Pierriccardo Olivieri, Fausto Lasca, Alessandro Gianola, Matteo Papini |
| 2025 | ICML | Convergence Analysis of Policy Gradient Methods with Dynamic Stochasticity. | Alessandro Montenegro, Marco Mussi, Matteo Papini, Alberto Maria Metelli |
| 2024 | AISTATS | Offline Primal-Dual Reinforcement Learning for Linear MDPs. | Germano Gabbianelli, Gergely Neu, Matteo Papini, Nneka Okolo |
| 2024 | ALT | Importance-Weighted Offline Learning Done Right. | Germano Gabbianelli, Gergely Neu, Matteo Papini |
| 2024 | COLT | Projection by Convolution: Optimal Sample Complexity for Reinforcement Learning in Continuous-Space MDPs. | Davide Maran, Alberto Maria Metelli, Matteo Papini, Marcello Restelli |
| 2024 | COLT | Optimistic Information Directed Sampling. | Gergely Neu, Matteo Papini, Ludovic Schwartz |
| 2024 | ICML | No-Regret Reinforcement Learning in Smooth MDPs. | Davide Maran, Alberto Maria Metelli, Matteo Papini, Marcello Restelli |
| 2024 | ICML | Learning Optimal Deterministic Policies with Stochastic Policy Gradients. | Alessandro Montenegro, Marco Mussi, Alberto Maria Metelli, Matteo Papini |
| 2024 | IJCAI | Online Learning with Off-Policy Feedback in Adversarial MDPs. | Francesco Bacchiocchi, Francesco Emanuele Stradi, Matteo Papini, Alberto Maria Metelli, Nicola Gatti |
| 2023 | ALT | Online Learning with Off-Policy Feedback. | Germano Gabbianelli, Gergely Neu, Matteo Papini |
| 2021 | AAAI | Policy Optimization as Online Learning with Mediator Feedback. | Alberto Maria Metelli, Matteo Papini, Pierluca D'Oro, Marcello Restelli |
| 2021 | ICML | Leveraging Good Representations in Linear Contextual Bandits. | Matteo Papini, Andrea Tirinzoni, Marcello Restelli, Alessandro Lazaric, Matteo Pirotta |
| 2020 | AAAI | Gradient-Aware Model-Based Policy Search. | Pierluca D'Oro, Alberto Maria Metelli, Andrea Tirinzoni, Matteo Papini, Marcello Restelli |
| 2020 | AISTATS | Balancing Learning Speed and Stability in Policy Gradient via Adaptive Exploration. | Matteo Papini, Andrea Battistello, Marcello Restelli |
| 2020 | IJCAI | Risk-Averse Trust Region Optimization for Reward-Volatility Reduction. | Lorenzo Bisi, Luca Sabbioni, Edoardo Vittori, Matteo Papini, Marcello Restelli |
| 2019 | ICML | Optimistic Policy Optimization via Multiple Importance Sampling. | Matteo Papini, Alberto Maria Metelli, Lorenzo Lupo, 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 | Stochastic Variance-Reduced Policy Gradient. | Matteo Papini, Damiano Binaghi, Giuseppe Canonaco, Matteo Pirotta, Marcello Restelli |