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ORCIDFederico Cacciamani
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2020 – today
- 2025
[j3]Martino Bernasconi
, Federico Cacciamani, Simone Fioravanti, Nicola Gatti, Francesco Trovò:
The evolutionary dynamics of soft-max policy gradient in multi-agent settings. Theor. Comput. Sci. 1027: 115011 (2025)- 2024
- [j2]Luca Carminati, Federico Cacciamani:
Monte-Carlo Regret Minimization for Adversarial Team Games. Intelligenza Artificiale 18(2): 219-237 (2024) - [c11]Federico Cacciamani, Matteo Castiglioni, Nicola Gatti:
Online Information Acquisition: Hiring Multiple Agents. ICLR 2024 - [c10]Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen McAleer, Andreas A. Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm:
Steering No-Regret Learners to a Desired Equilibrium. EC 2024: 73-74 - [c9]Federico Cacciamani, Martino Bernasconi, Matteo Castiglioni, Nicola Gatti:
Multi-Agent Contract Design beyond Binary Actions. EC 2024: 1293 - [i8]Federico Cacciamani, Martino Bernasconi, Matteo Castiglioni, Nicola Gatti:
Multi-Agent Contract Design beyond Binary Actions. CoRR abs/2402.13824 (2024) - 2023
- [j1]Martino Bernasconi, Federico Cacciamani, Matteo Castiglioni:
A framework for safe decision making: A convex duality approach. Intelligenza Artificiale 17(2): 195-205 (2023) - [c8]Federico Cacciamani, Matteo Castiglioni, Nicola Gatti:
Online Mechanism Design for Information Acquisition. ICML 2023: 3299-3326 - [c7]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 - [i7]Federico Cacciamani, Matteo Castiglioni, Nicola Gatti:
Online Mechanism Design for Information Acquisition. CoRR abs/2302.02873 (2023) - [i6]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 abs/2306.05216 (2023) - [i5]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 abs/2306.05221 (2023) - [i4]Federico Cacciamani, Matteo Castiglioni, Nicola Gatti:
Online Information Acquisition: Hiring Multiple Agents. CoRR abs/2307.06210 (2023) - 2022
- [c6]Martino Bernasconi, Federico Cacciamani, Simone Fioravanti, Nicola Gatti, Francesco Trovò:
The Evolutionary Dynamics of Soft-Max Policy Gradient in Multi-Agent Settings. AAMAS 2022: 1545-1547 - [c5]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: 1854-1873 - [c4]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: 2638-2657 - [c3]Brian Hu Zhang, Luca Carminati, Federico Cacciamani, Gabriele Farina, Pierriccardo Olivieri, Nicola Gatti, Tuomas Sandholm:
Subgame Solving in Adversarial Team Games. NeurIPS 2022 - [i3]Luca Carminati, Federico Cacciamani, Marco Ciccone, Nicola Gatti:
Public Information Representation for Adversarial Team Games. CoRR abs/2201.10377 (2022) - [i2]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 abs/2206.09161 (2022) - 2021
- [c2]Federico Cacciamani, Andrea Celli, Marco Ciccone, Nicola Gatti:
Multi-Agent Coordination in Adversarial Environments through Signal Mediated Strategies. AAMAS 2021: 269-278 - [c1]Martino Bernasconi de Luca, Federico Cacciamani, Simone Fioravanti, Nicola Gatti, Alberto Marchesi, Francesco Trovò:
Exploiting Opponents Under Utility Constraints in Sequential Games. NeurIPS 2021: 13177-13188 - [i1]Federico Cacciamani, Andrea Celli, Marco Ciccone, Nicola Gatti:
Multi-Agent Coordination in Adversarial Environments through Signal Mediated Strategies. CoRR abs/2102.05026 (2021)
Coauthor Index
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