Federico Cacciamani

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 18

Top Topics

Sequential Decision Making

Mechanism Design

Parametric Optimization

Top Venues

Publications

Federico Cacciamani, Martino Bernasconi, Matteo Castiglioni, Nicola Gatti
Multi-Agent Contract Design beyond Binary Actions. CoRR (2024)
Federico Cacciamani, Matteo Castiglioni, Nicola Gatti
Online Information Acquisition: Hiring Multiple Agents. ICLR (2024)
Federico Cacciamani, Matteo Castiglioni, Nicola Gatti
Online Mechanism Design for Information Acquisition. ICML (2023)
Federico Cacciamani, Matteo Castiglioni, Nicola Gatti
Online Mechanism Design for Information Acquisition. CoRR (2023)
Martino Bernasconi, Federico Cacciamani, Matteo Castiglioni
A framework for safe decision making: A convex duality approach. Intelligenza Artificiale 17 (2) (2023)
Federico Cacciamani, Matteo Castiglioni, Nicola Gatti
Online Information Acquisition: Hiring Multiple Agents. CoRR (2023)
Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen Marcus McAleer, Andreas Alexander Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm
Steering No-Regret Learners to Optimal Equilibria. CoRR (2023)
Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen Marcus McAleer, Andreas Alexander Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm
Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games. CoRR (2023)
Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen McAleer, Andreas A. Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm
Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games. NeurIPS (2023)
Martino Bernasconi, Federico Cacciamani, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti, Francesco Trovò
Safe Learning in Tree-Form Sequential Decision Making: Handling Hard and Soft Constraints. ICML (2022)
Luca Carminati, Federico Cacciamani, Marco Ciccone, Nicola Gatti
Public Information Representation for Adversarial Team Games. CoRR (2022)
Martino Bernasconi, Federico Cacciamani, Simone Fioravanti, Nicola Gatti, Francesco Trovò
The Evolutionary Dynamics of Soft-Max Policy Gradient in Multi-Agent Settings. AAMAS (2022)
Brian Hu Zhang, Luca Carminati, Federico Cacciamani, Gabriele Farina, Pierriccardo Olivieri, Nicola Gatti, Tuomas Sandholm
Subgame Solving in Adversarial Team Games. NeurIPS (2022)
Luca Carminati, Federico Cacciamani, Marco Ciccone, Nicola Gatti
A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving. ICML (2022)
Luca Carminati, Federico Cacciamani, Marco Ciccone, Nicola Gatti
A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving. CoRR (2022)
Federico Cacciamani, Andrea Celli, Marco Ciccone, Nicola Gatti
Multi-Agent Coordination in Adversarial Environments through Signal Mediated Strategies. AAMAS (2021)
Martino Bernasconi de Luca, Federico Cacciamani, Simone Fioravanti, Nicola Gatti, Alberto Marchesi, Francesco Trovò
Exploiting Opponents Under Utility Constraints in Sequential Games. NeurIPS (2021)
Federico Cacciamani, Andrea Celli, Marco Ciccone, Nicola Gatti
Multi-Agent Coordination in Adversarial Environments through Signal Mediated Strategies. CoRR (2021)