| 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 | 13 | 2022 |
| 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 | 7 | 2022 |
| Hidden-Role Games: Equilibrium Concepts and Computation L Carminati, BH Zhang, G Farina, N Gatti, T Sandholm arXiv preprint arXiv:2308.16017, 2023 | 4 | 2023 |
| Lightweight and Scalable Model for Tweet Engagements Predictions in a Resource-constrained Environment L Carminati, G Lodigiani, P Maldini, S Meta, S Metaj, A Pisa, A Sanvito, ... Proceedings of the Recommender Systems Challenge 2021, 28-33, 2021 | 1 | 2021 |
| Monte-Carlo Regret Minimization for Adversarial Team Games L Carminati, F Cacciamani Intelligenza Artificiale, 1-19, 0 | | |
| Research Project Proposal: Function Approximation for Adversarial Team Games L Carminati | | |
| State of the Art on: Function Approximation for Adversarial Team Games L Carminati | | |
