Federico Cacciamani

According to our database, Federico Cacciamani authored at least 15 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

The evolutionary dynamics of soft-max policy gradient in multi-agent settings.

Martino Bernasconi, Federico Cacciamani, Simone Fioravanti, Nicola Gatti, Francesco Trovò

Theor. Comput. Sci., 2025

2024

Monte-Carlo Regret Minimization for Adversarial Team Games.

Luca Carminati, Federico Cacciamani

Intelligenza Artificiale, 2024

Steering No-Regret Learners to a Desired Equilibrium.

Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen McAleer, Andreas A. Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm

Proceedings of the 25th ACM Conference on Economics and Computation, 2024

Multi-Agent Contract Design beyond Binary Actions.

Federico Cacciamani, Martino Bernasconi, Matteo Castiglioni, Nicola Gatti

Proceedings of the 25th ACM Conference on Economics and Computation, 2024

Online Information Acquisition: Hiring Multiple Agents.

Federico Cacciamani, Matteo Castiglioni, Nicola Gatti

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

A framework for safe decision making: A convex duality approach.

Martino Bernasconi, Federico Cacciamani, Matteo Castiglioni

Intelligenza Artificiale, 2023

Steering No-Regret Learners to Optimal Equilibria.

Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen Marcus McAleer, Andreas Alexander Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm

CoRR, 2023

Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games.

Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen McAleer, Andreas A. Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Online Mechanism Design for Information Acquisition.

Federico Cacciamani, Matteo Castiglioni, Nicola Gatti

Proceedings of the International Conference on Machine Learning, 2023

2022

Public Information Representation for Adversarial Team Games.

Luca Carminati, Federico Cacciamani, Marco Ciccone, Nicola Gatti

CoRR, 2022

Subgame Solving in Adversarial Team Games.

Brian Hu Zhang, Luca Carminati, Federico Cacciamani, Gabriele Farina, Pierriccardo Olivieri, Nicola Gatti, Tuomas Sandholm

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Safe Learning in Tree-Form Sequential Decision Making: Handling Hard and Soft Constraints.

Martino Bernasconi, Federico Cacciamani, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti, Francesco Trovò

Proceedings of the International Conference on Machine Learning, 2022

A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving.

Luca Carminati, Federico Cacciamani, Marco Ciccone, Nicola Gatti

Proceedings of the International Conference on Machine Learning, 2022

2021

Exploiting Opponents Under Utility Constraints in Sequential Games.

Martino Bernasconi de Luca, Federico Cacciamani, Simone Fioravanti, Nicola Gatti, Alberto Marchesi, Francesco Trovò

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multi-Agent Coordination in Adversarial Environments through Signal Mediated Strategies.

Federico Cacciamani, Andrea Celli, Marco Ciccone, Nicola Gatti

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021