Marco Mussi

33 papers A* 11A 1Journal 20Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Refined Analysis of UCBVI.
CoRR
Simone Drago, Marco Mussi, Alberto Maria Metelli
2025 A* conf
Convergence Analysis of Policy Gradient Methods with Dynamic Stochasticity.
ICML
Alessandro Montenegro, Marco Mussi, Matteo Papini, Alberto Maria Metelli
2025 J jnl
Factored-reward bandits with intermediate observations: Regret minimization and best arm identification.
Artif. Intell.
Marco Mussi, Simone Drago, Marcello Restelli, Alberto Maria Metelli
2025 J jnl
Generalized Kernelized Bandits: Self-Normalized Bernstein-Like Dimension-Free Inequality and Regret Bounds.
CoRR
Alberto Maria Metelli, Simone Drago, Marco Mussi
2025 J jnl
Generalizing the Regret: an Analysis of Lower and Upper Bounds.
J. Artif. Intell. Res.
Marco Mussi, Alberto Maria Metelli
2025 J jnl
Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning.
CoRR
Davide Salaorni, Vincenzo De Paola, Samuele Delpero, Giovanni Dispoto, Paolo Bonetti, Alessio Russo, Giuseppe Calcagno, Francesco Trovò, Matteo Papini, Alberto Maria Metelli, Marco Mussi, Marcello Restelli
2025 J jnl
Learning Deterministic Policies with Policy Gradients in Constrained Markov Decision Processes.
CoRR
Alessandro Montenegro, Leonardo Cesani, Marco Mussi, Matteo Papini, Alberto Maria Metelli
2025 J jnl
Online Dynamic Pricing of Complementary Products.
CoRR
Marco Mussi, Marcello Restelli
2025 — conf
Position: Constants are Critical in Regret Bounds for Reinforcement Learning.
ICML (Position Papers)
Simone Drago, Marco Mussi, Alberto Maria Metelli
2025 J jnl
Power Grid Control with Graph-Based Distributed Reinforcement Learning.
CoRR
Carlo Fabrizio, Gianvito Losapio, Marco Mussi, Alberto Maria Metelli, Marcello Restelli
2025 J jnl
Reusing Trajectories in Policy Gradients Enables Fast Convergence.
CoRR
Alessandro Montenegro, Federico Mansutti, Marco Mussi, Matteo Papini, Alberto Maria Metelli
2025 A* conf
Sleeping Reinforcement Learning.
ICML
Simone Drago, Marco Mussi, Alberto Maria Metelli
2025 A* conf
Towards Theoretical Understanding of Sequential Decision Making with Preference Feedback.
ICML
Simone Drago, Marco Mussi, Alberto Maria Metelli
2024 A conf
Autoregressive Bandits.
AISTATS
Francesco Bacchiocchi, Gianmarco Genalti, Davide Maran, Marco Mussi, Marcello Restelli, Nicola Gatti, Alberto Maria Metelli
2024 A* conf
Best Arm Identification for Stochastic Rising Bandits.
ICML
Marco Mussi, Alessandro Montenegro, Francesco Trovò, Marcello Restelli, Alberto Maria Metelli
2024 J jnl
Bridging Rested and Restless Bandits with Graph-Triggering: Rising and Rotting.
CoRR
Gianmarco Genalti, Marco Mussi, Nicola Gatti, Marcello Restelli, Matteo Castiglioni, Alberto Maria Metelli
2024 A* conf
Factored-Reward Bandits with Intermediate Observations.
ICML
Marco Mussi, Simone Drago, Marcello Restelli, Alberto Maria Metelli
2024 A* conf
Graph-Triggered Rising Bandits.
ICML
Gianmarco Genalti, Marco Mussi, Nicola Gatti, Marcello Restelli, Matteo Castiglioni, Alberto Maria Metelli
2024 A* conf
Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning.
NeurIPS
Alessandro Montenegro, Marco Mussi, Matteo Papini, Alberto Maria Metelli
2024 J jnl
Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning.
CoRR
Alessandro Montenegro, Marco Mussi, Matteo Papini, Alberto Maria Metelli
2024 A* conf
Learning Optimal Deterministic Policies with Stochastic Policy Gradients.
ICML
Alessandro Montenegro, Marco Mussi, Alberto Maria Metelli, Matteo Papini
2024 J jnl
Learning Optimal Deterministic Policies with Stochastic Policy Gradients.
CoRR
Alessandro Montenegro, Marco Mussi, Alberto Maria Metelli, Matteo Papini
2024 J jnl
Open Problem: Tight Bounds for Kernelized Multi-Armed Bandits with Bernoulli Rewards.
CoRR
Marco Mussi, Simone Drago, Alberto Maria Metelli
2024 J jnl
State and Action Factorization in Power Grids.
CoRR
Gianvito Losapio, Davide Beretta, Marco Mussi, Alberto Maria Metelli, Marcello Restelli
2023 J jnl
ARLO: A framework for Automated Reinforcement Learning.
Expert Syst. Appl.
Marco Mussi, Davide Lombarda, Alberto Maria Metelli, Francesco Trovò, Marcello Restelli
2023 J jnl
Best Arm Identification for Stochastic Rising Bandits.
CoRR
Marco Mussi, Alessandro Montenegro, Francesco Trovò, Marcello Restelli, Alberto Maria Metelli
2023 A* conf
Dynamic Pricing with Volume Discounts in Online Settings.
AAAI
Marco Mussi, Gianmarco Genalti, Alessandro Nuara, Francesco Trovò, Marcello Restelli, Nicola Gatti
2023 A* conf
Dynamical Linear Bandits.
ICML
Marco Mussi, Alberto Maria Metelli, Marcello Restelli
2022 J jnl
ARLO: A Framework for Automated Reinforcement Learning.
CoRR
Marco Mussi, Davide Lombarda, Alberto Maria Metelli, Francesco Trovò, Marcello Restelli
2022 J jnl
Autoregressive Bandits.
CoRR
Francesco Bacchiocchi, Gianmarco Genalti, Davide Maran, Marco Mussi, Marcello Restelli, Nicola Gatti, Alberto Maria Metelli
2022 J jnl
Dynamic Pricing with Volume Discounts in Online Settings.
CoRR
Marco Mussi, Gianmarco Genalti, Alessandro Nuara, Francesco Trovò, Marcello Restelli, Nicola Gatti
2022 J jnl
Dynamical Linear Bandits.
CoRR
Marco Mussi, Alberto Maria Metelli, Marcello Restelli
2022 A* conf
Pricing the Long Tail by Explainable Product Aggregation and Monotonic Bandits.
KDD
Marco Mussi, Gianmarco Genalti, Francesco Trovò, Alessandro Nuara, Nicola Gatti, Marcello Restelli