| A voltage dynamic-based state of charge estimation method for batteries storage systems M Mussi, L Pellegrino, M Restelli, F Trovò Journal of Energy Storage 44, 103309, 2021 | 19 | 2021 |
| Pricing the Long Tail by Explainable Product Aggregation and Monotonic Bandits M Mussi, G Genalti, F Trovò, A Nuara, N Gatti, M Restelli Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 13 | 2022 |
| An online state of health estimation method for lithium-ion batteries based on time partitioning and data-driven model identification M Mussi, L Pellegrino, M Restelli, F Trovò Journal of Energy Storage 55, 105467, 2022 | 11 | 2022 |
| Dynamical Linear Bandits M Mussi, AM Metelli, M Restelli International Conference on Machine Learning, 25563-25587, 2023 | 6 | 2023 |
| Dynamic pricing with volume discounts in online settings M Mussi, G Genalti, A Nuara, F Trovó, M Restelli, N Gatti Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 15560 …, 2023 | 6 | 2023 |
| ARLO: A framework for Automated Reinforcement Learning M Mussi, D Lombarda, AM Metelli, F Trovò, M Restelli Expert Systems with Applications, 119883, 2023 | 6 | 2023 |
| Best Arm Identification for Stochastic Rising Bandits M Mussi, A Montenegro, F Trovó, M Restelli, AM Metelli arXiv preprint arXiv:2302.07510, 2023 | 6 | 2023 |
| Autoregressive bandits F Bacchiocchi, G Genalti, D Maran, M Mussi, M Restelli, N Gatti, ... International Conference on Artificial Intelligence and Statistics, 937-945, 2024 | 3 | 2024 |
| A Reinforcement Learning controller optimizing costs and battery State of Health in smart grids M Mussi, L Pellegrino, OF Pindaro, M Restelli, F Trovò Journal of Energy Storage 82, 110572, 2024 | 3 | 2024 |
| Graph-Triggered Rising Bandits G Genalti, M Mussi, N Gatti, M Restelli, M Castiglioni, AM Metelli Forty-first International Conference on Machine Learning, 2024 | 3 | 2024 |
| Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning A Montenegro, M Mussi, M Papini, AM Metelli arXiv preprint arXiv:2407.10775, 2024 | 1 | 2024 |
| Learning Optimal Deterministic Policies with Stochastic Policy Gradients A Montenegro, M Mussi, AM Metelli, M Papini arXiv preprint arXiv:2405.02235, 2024 | 1 | 2024 |
| Dynamic Pricing with Online Data Aggregation and Learning G Genalti, M Mussi, A Nuara, N Gatti European Workshop on Reinforcement Learning, 2022 | 1 | 2022 |
| Bridging Rested and Restless Bandits with Graph-Triggering: Rising and Rotting G Genalti, M Mussi, N Gatti, M Restelli, M Castiglioni, AM Metelli arXiv preprint arXiv:2409.05980, 2024 | | 2024 |
| State and Action Factorization in Power Grids G Losapio, D Beretta, M Mussi, AM Metelli, M Restelli arXiv preprint arXiv:2409.04467, 2024 | | 2024 |
| Open Problem: Tight Bounds for Kernelized Multi-Armed Bandits with Bernoulli Rewards M Mussi, S Drago, AM Metelli arXiv preprint arXiv:2407.06321, 2024 | | 2024 |
| Position paper on AI for the operation of critical energy and mobility network infrastructures M Mussi, G Losapio, AM Metelli, M Restelli, R Bessa, A Marot, D Boos, ... Ai4Realnet, 2024 | | 2024 |
| Open Problem: Tight Bounds for Bernoulli Rewards in Kernelized Multi-Armed Bandits S Drago, M Mussi | | 2024 |
| Online Learning Methods for Pricing and Advertising M Mussi | | 2023 |
| A Best Arm Identification Approach for Stochastic Rising Bandits A Montenegro, M Mussi, F Trovo, M Restelli, AM Metelli Workshop on New Frontiers in Learning, Control, and Dynamical Systems at …, 2023 | | 2023 |
Marcello RestelliAssociate Professor, Politecnico di MilanoZweryfikowany adres z polimi.it
