Multi-Agent Coordination in Adversarial Environments through Signal Mediated Strategies. - Federico Cacciamani; Andrea Celli; Marco Ciccone; Nicola Gatti 001 (AAMAS, 2021)

Exploiting Opponents Under Utility Constraints in Sequential Games. - Martino Bernasconi de Luca; Federico Cacciamani; Simone Fioravanti; Nicola Gatti 001; Alberto Marchesi 001; Francesco Trovò (NeurIPS, 2021)

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 001 (ICML, 2022)

Safe Learning in Tree-Form Sequential Decision Making: Handling Hard and Soft Constraints. - Martino Bernasconi; Federico Cacciamani; Matteo Castiglioni; Alberto Marchesi 001; Nicola Gatti 001; Francesco Trovò (ICML, 2022)

Subgame Solving in Adversarial Team Games. - Brian Hu Zhang; Luca Carminati; Federico Cacciamani; Gabriele Farina; Pierriccardo Olivieri; Nicola Gatti 001; Tuomas Sandholm (NeurIPS, 2022)

Public Information Representation for Adversarial Team Games. - Luca Carminati; Federico Cacciamani; Marco Ciccone; Nicola Gatti 001 (CoRR, 2022)

Online Mechanism Design for Information Acquisition. - Federico Cacciamani; Matteo Castiglioni; Nicola Gatti 001 (ICML, 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 001; Vincent Conitzer; Tuomas Sandholm (NeurIPS, 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 001; Vincent Conitzer; Tuomas Sandholm (CoRR, 2023)

A framework for safe decision making: A convex duality approach. - Martino Bernasconi; Federico Cacciamani; Matteo Castiglioni (Intelligenza Artificiale, 2023)

Online Information Acquisition: Hiring Multiple Agents. - Federico Cacciamani; Matteo Castiglioni; Nicola Gatti 001 (ICLR, 2024)

Multi-Agent Contract Design beyond Binary Actions. - Federico Cacciamani; Martino Bernasconi; Matteo Castiglioni; Nicola Gatti 001 (EC, 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 001; Vincent Conitzer; Tuomas Sandholm (EC, 2024)

Monte-Carlo Regret Minimization for Adversarial Team Games. - Luca Carminati; Federico Cacciamani (Intelligenza Artificiale, 2024)

The evolutionary dynamics of soft-max policy gradient in multi-agent settings. - Martino Bernasconi; Federico Cacciamani; Simone Fioravanti; Nicola Gatti 001; Francesco Trovò (Theor. Comput. Sci., 2025)