| Online Learning in CMDPs: Handling Stochastic and Adversarial Constraints FE Stradi, J Germano, G Genalti, M Castiglioni, A Marchesi, N Gatti Forty-first International Conference on Machine Learning, 2024 | 31* | 2024 |
| Markov persuasion processes: Learning to persuade from scratch F Bacchiocchi, FE Stradi, M Castiglioni, A Marchesi, N Gatti arXiv preprint arXiv:2402.03077, 2024 | 21 | 2024 |
| Learning adversarial mdps with stochastic hard constraints FE Stradi, M Castiglioni, A Marchesi, N Gatti arXiv preprint arXiv:2403.03672, 2024 | 19 | 2024 |
| Online markov decision processes configuration with continuous decision space D Maran, P Olivieri, FE Stradi, G Urso, N Gatti, M Restelli Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14315 …, 2024 | 12 | 2024 |
| Taming Adversarial Constraints in CMDPs FE Stradi, A Lunghi, M Castiglioni, A Marchesi, N Gatti The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025 | 11* | 2025 |
| Online adversarial mdps with off-policy feedback and known transitions F Bacchiocchi, FE Stradi, M Papini, AM Metelli, N Gatti Sixteenth European Workshop on Reinforcement Learning, 2023 | 11 | 2023 |
| Optimal strong regret and violation in constrained mdps via policy optimization FE Stradi, M Castiglioni, A Marchesi, N Gatti arXiv preprint arXiv:2410.02275, 2024 | 9 | 2024 |
| A primal-dual online learning approach for dynamic pricing of sequentially displayed complementary items under sale constraints FE Stradi, F Cipriani, L Ciampiconi, M Leonardi, A Rozza, N Gatti arXiv preprint arXiv:2407.05793, 2024 | 7 | 2024 |
| No-Regret Learning Under Adversarial Resource Constraints: A Spending Plan Is All You Need! FE Stradi, M Castiglioni, A Marchesi, N Gatti, C Kroer arXiv preprint arXiv:2506.13244, 2025 | 6 | 2025 |
| Policy Optimization for CMDPs with Bandit Feedback: Learning Stochastic and Adversarial Constraints FE Stradi, A Lunghi, M Castiglioni, A Marchesi, N Gatti Forty-second International Conference on Machine Learning, 2025 | 6* | 2025 |
| Data-Dependent Regret Bounds for Constrained MABs G Genalti, FE Stradi, M Castiglioni, A Marchesi, N Gatti arXiv preprint arXiv:2505.20010, 2025 | 2 | 2025 |
| Online Learning with Off-Policy Feedback in Adversarial MDPs F Bacchiocchi, FE Stradi, M Papini, AM Metelli, N Gatti Proceedings of the Thirty-Third International Joint Conference on Artificial …, 2024 | 2 | 2024 |
| Markov Persuasion Processes: How to Persuade Multiple Agents From Scratch F Bacchiocchi, FE Stradi, M Castiglioni, N Gatti, A Marchesi ICML 2024 Workshop: Aligning Reinforcement Learning Experimentalists and …, 2024 | 2 | 2024 |
| Online Configuration in Continuous Decision Space D Maran, P Olivieri, FE Stradi, G Urso, N Gatti, M Restelli Sixteenth European Workshop on Reinforcement Learning, 2023 | 1 | 2023 |
| Beyond Slater's Condition in Online CMDPs with Stochastic and Adversarial Constraints FE Stradi, EF Chiefari, M Castiglioni, A Marchesi, N Gatti arXiv preprint arXiv:2509.20114, 2025 | | 2025 |
| Data-Dependent Regret Bounds for MABs with Constraints G Genalti, FE Stradi, M Castiglioni, A Marchesi, N Gatti NeurIPS 2025 Workshop: Second Workshop on Aligning Reinforcement Learning …, 2025 | | 2025 |
| Taming Adversarial Constraints in Constrained MDPs FE Stradi, A Lunghi, M Castiglioni, A Marchesi, N Gatti Eighteenth European Workshop on Reinforcement Learning, 2025 | | 2025 |
| Bandits with Ranking Feedback D Maran, F Bacchiocchi, FE Stradi, M Castiglioni, N Gatti, M Restelli The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | | 2024 |
| Online learning in CMDPs with adversarial losses and stochastic hard constraints FE Stradi, M Castiglioni, A Marchesi, N Gatti Seventeenth European Workshop on Reinforcement Learning, 2024 | | 2024 |
| Safely guiding a no-regret learner to the equilibrium FE Stradi | | 2021 |
Nicola GattiPolitecnico di MilanoVerified email at elet.polimi.it
