| Public signaling in bayesian ad auctions F Bacchiocchi, M Castiglioni, A Marchesi, G Romano, N Gatti Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | 12 | 2022 |
| Markov persuasion processes: Learning to persuade from scratch F Bacchiocchi, FE Stradi, M Castiglioni, A Marchesi, N Gatti arXiv preprint arXiv:2402.03077, 2024 | 5 | 2024 |
| Learning Optimal Contracts: How to Exploit Small Action Spaces F Bacchiocchi, M Castiglioni, A Marchesi, N Gatti The Twelfth International Conference on Learning Representations, 2024 | 5 | 2024 |
| 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 | 5 | 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 | 2 | 2024 |
| Selling Information while Being an Interested Party M Castiglioni, F Bacchiocchi, A Marchesi, G Romano, N Gatti arXiv preprint arXiv:2301.13790, 2023 | 1 | 2023 |
| The Sample Complexity of Stackelberg Games F Bacchiocchi, M Bollini, M Castiglioni, A Marchesi, N Gatti arXiv preprint arXiv:2405.06977, 2024 | | 2024 |
| 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 | | 2024 |
| Public signaling in Vickrey-Clarke-Groves ad auctions F Bacchiocchi | | 2021 |
| 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 …, 0 | | |
| Bandits with Ranking Feedback D Maran, F Bacchiocchi, FE Stradi, M Castiglioni, N Gatti, M Restelli | | |
| Online Learning in Autoregressive Dynamics F Bacchiocchi, G Genalti, D Maran, M Mussi, M Restelli, N Gatti, ... Sixteenth European Workshop on Reinforcement Learning, 0 | | |
Nicola GattiPolitecnico di MilanoVerified email at elet.polimi.it
