Delayed Reinforcement Learning by Imitation. - Pierre Liotet; Davide Maran; Lorenzo Bisi; Marcello Restelli (ICML, 2022)

Tight Performance Guarantees of Imitator Policies with Continuous Actions. - Davide Maran; Alberto Maria Metelli; Marcello Restelli (AAAI, 2023)

Online Markov Decision Processes Configuration with Continuous Decision Space. - Davide Maran; Pierriccardo Olivieri; Francesco Emanuele Stradi; Giuseppe Urso; Nicola Gatti 001; Marcello Restelli (AAAI, 2024)

Autoregressive Bandits. - Francesco Bacchiocchi; Gianmarco Genalti; Davide Maran; Marco Mussi; Marcello Restelli; Nicola Gatti 001; Alberto Maria Metelli (AISTATS, 2024)

Projection by Convolution: Optimal Sample Complexity for Reinforcement Learning in Continuous-Space MDPs. - Davide Maran; Alberto Maria Metelli; Matteo Papini; Marcello Restelli (COLT, 2024)

No-Regret Reinforcement Learning in Smooth MDPs. - Davide Maran; Alberto Maria Metelli; Matteo Papini; Marcello Restelli (ICML, 2024)

Bandits with Ranking Feedback. - Davide Maran; Francesco Bacchiocchi; Francesco Emanuele Stradi; Matteo Castiglioni; Nicola Gatti 001; Marcello Restelli (NeurIPS, 2024)

Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs. - Davide Maran; Alberto Maria Metelli; Matteo Papini; Marcello Restelli (NeurIPS, 2024)

A parametric algorithm is optimal for non-parametric regression of smooth functions. - Davide Maran; Marcello Restelli (CoRR, 2024)