Sequential Transfer in Reinforcement Learning with a Generative Model. - Andrea Tirinzoni; Riccardo Poiani; Marcello Restelli (ICML, 2020)

Meta-Reinforcement Learning by Tracking Task Non-stationarity. - Riccardo Poiani; Andrea Tirinzoni; Marcello Restelli (IJCAI, 2021)

Multi-Fidelity Best-Arm Identification. - Riccardo Poiani; Alberto Maria Metelli; Marcello Restelli (NeurIPS, 2022)

Truncating Trajectories in Monte Carlo Reinforcement Learning. - Riccardo Poiani; Alberto Maria Metelli; Marcello Restelli (ICML, 2023)

Truncating Trajectories in Monte Carlo Policy Evaluation: an Adaptive Approach. - Riccardo Poiani; Nicole Nobili; Alberto Maria Metelli; Marcello Restelli (NeurIPS, 2023)

Pure Exploration under Mediators' Feedback. - Riccardo Poiani; Alberto Maria Metelli; Marcello Restelli (CoRR, 2023)

Sub-optimal Experts mitigate Ambiguity in Inverse Reinforcement Learning. - Riccardo Poiani; Gabriele Curti; Alberto Maria Metelli; Marcello Restelli (NeurIPS, 2024)

Optimal Multi-Fidelity Best-Arm Identification. - Riccardo Poiani; Rémy Degenne; Emilie Kaufmann; Alberto Maria Metelli; Marcello Restelli (NeurIPS, 2024)

Inverse Reinforcement Learning with Sub-optimal Experts. - Riccardo Poiani; Gabriele Curti; Alberto Maria Metelli; Marcello Restelli (CoRR, 2024)

Optimizing Empty Container Repositioning and Fleet Deployment via Configurable Semi-POMDPs. - Riccardo Poiani; Ciprian Stirbu; Alberto Maria Metelli; Marcello Restelli (IEEE Trans. Intell. Transp. Syst., 2024)

Best-Arm Identification in Unimodal Bandits. - Riccardo Poiani; Marc Jourdan; Emilie Kaufmann; Rémy Degenne (AISTATS, 2025)

Pure Exploration with Infinite Answers. - Riccardo Poiani; Martino Bernasconi; Andrea Celli (CoRR, 2025)

Non-Asymptotic Analysis of (Sticky) Track-and-Stop. - Riccardo Poiani; Martino Bernasconi; Andrea Celli (CoRR, 2025)