| Multi-agent coordination in adversarial environments through signal mediated strategies F Cacciamani, A Celli, M Ciccone, N Gatti arXiv preprint arXiv:2102.05026, 2021 | 16 | 2021 |
| Exploiting Opponents Under Utility Constraints in Sequential Games M Bernasconi de Luca, F Cacciamani, S Fioravanti, N Gatti, A Marchesi, ... Thirty-Fifth Conference on Neural Information Processing Systems, 2021 | 15 | 2021 |
| A marriage between adversarial team games and 2-player games: Enabling abstractions, no-regret learning, and subgame solving L Carminati, F Cacciamani, M Ciccone, N Gatti International Conference on Machine Learning, 2638-2657, 2022 | 14 | 2022 |
| Computing optimal equilibria and mechanisms via learning in zero-sum extensive-form games B Zhang, G Farina, I Anagnostides, F Cacciamani, S McAleer, A Haupt, ... Advances in Neural Information Processing Systems 36, 2024 | 11 | 2024 |
| Safe learning in tree-form sequential decision making: Handling hard and soft constraints M Bernasconi, F Cacciamani, M Castiglioni, A Marchesi, N Gatti, F Trovò International Conference on Machine Learning, 1854-1873, 2022 | 11 | 2022 |
| Steering no-regret learners to optimal equilibria BH Zhang, G Farina, I Anagnostides, F Cacciamani, SM McAleer, ... | 10 | 2023 |
| Public information representation for adversarial team games L Carminati, F Cacciamani, M Ciccone, N Gatti arXiv preprint arXiv:2201.10377, 2022 | 9 | 2022 |
| Subgame solving in adversarial team games B Zhang, L Carminati, F Cacciamani, G Farina, P Olivieri, N Gatti, ... Advances in Neural Information Processing Systems 35, 26686-26697, 2022 | 8 | 2022 |
| Online mechanism design for information acquisition F Cacciamani, M Castiglioni, N Gatti International Conference on Machine Learning, 3299-3326, 2023 | 5 | 2023 |
| Multi-agent contract design beyond binary actions F Cacciamani, M Bernasconi, M Castiglioni, N Gatti arXiv preprint arXiv:2402.13824, 2024 | 3 | 2024 |
| Online Information Acquisition: Hiring Multiple Agents F Cacciamani, M Castiglioni, N Gatti arXiv preprint arXiv:2307.06210, 2023 | 3 | 2023 |
| Steering No-Regret Learners to a Desired Equilibrium BH Zhang, G Farina, I Anagnostides, F Cacciamani, SM McAleer, ... arXiv preprint arXiv:2306.05221, 2023 | 3 | 2023 |
| The Evolutionary Dynamics of Soft-Max Policy Gradient in Multi-Agent Setting M Bernasconi, F Cacciamani, S Fioravanti, N Gatti, F Trovò Available at SSRN 4159835, 2022 | 2 | 2022 |
| The evolutionary dynamics of soft-max policy gradient in games M Bernasconi, F Cacciamani, S Fioravanti, N Gatti, F Trovo, ... Proceedings of the AAAI Conference on Artificial Intelligence, 2022 | 2 | 2022 |
| A General Framework for Safe Decision Making: A Convex Duality Approach M Bernasconi, F Cacciamani, N Gatti, F Trovò NeurIPS ML Safety Workshop, 2022 | 1 | 2022 |
| Learning optimal equilibria and mechanisms under information asymmetry F Cacciamani | | 2023 |
| A framework for safe decision making: A convex duality approach M Bernasconi, F Cacciamani, M Castiglioni Intelligenza Artificiale, 1-11, 2023 | | 2023 |
| Exploiting Opponents under Utility Constraints in Extensive-Form Games M Bernasconi, F Cacciamani, S Fioravanti, N Gatti, A Marchesi, F Trovo | | 2022 |
| A reinforcement learning approach to adversarial team games F CACCIAMANI Politecnico di Milano, 2019 | | 2019 |
| Monte-Carlo Regret Minimization for Adversarial Team Games L Carminati, F Cacciamani Intelligenza Artificiale, 1-19, 0 | | |
Nicola GattiPolitecnico di MilanoVerified email at elet.polimi.it
