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Federico Cacciamani
Federico Cacciamani
Verified email at polimi.it
Title
Cited by
Cited by
Year
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
162022
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
162021
Multi-agent coordination in adversarial environments through signal mediated strategies
F Cacciamani, A Celli, M Ciccone, N Gatti
arXiv preprint arXiv:2102.05026, 2021
162021
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
142022
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
122024
Steering no-regret learners to optimal equilibria
BH Zhang, G Farina, I Anagnostides, F Cacciamani, SM McAleer, ...
122023
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
92022
Public information representation for adversarial team games
L Carminati, F Cacciamani, M Ciccone, N Gatti
arXiv preprint arXiv:2201.10377, 2022
92022
Online mechanism design for information acquisition
F Cacciamani, M Castiglioni, N Gatti
International Conference on Machine Learning, 3299-3326, 2023
62023
Multi-agent contract design beyond binary actions
F Cacciamani, M Bernasconi, M Castiglioni, N Gatti
arXiv preprint arXiv:2402.13824, 2024
32024
Online Information Acquisition: Hiring Multiple Agents
F Cacciamani, M Castiglioni, N Gatti
arXiv preprint arXiv:2307.06210, 2023
32023
Steering No-Regret Learners to a Desired Equilibrium
BH Zhang, G Farina, I Anagnostides, F Cacciamani, SM McAleer, ...
arXiv preprint arXiv:2306.05221, 2023
32023
The evolutionary dynamics of soft-max policy gradient in multi-agent settings
M Bernasconi, F Cacciamani, S Fioravanti, N Gatti, F Trovò
Theoretical Computer Science, 115011, 2024
22024
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
22022
A General Framework for Safe Decision Making: A Convex Duality Approach
M Bernasconi, F Cacciamani, N Gatti, F Trovò
NeurIPS ML Safety Workshop, 2022
12022
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
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Articles 1–20