About
 

Gabriele Farina

X-Window Consortium Professor; Assistant Professor, Department of Electrical Engineering and Computer Science

Publications Research

Categories

Algorithm Design Machine Learning Multi-agent Systems Optimization

Gabriele Farina is an assistant professor at MIT in the Department of Electrical Engineering and Computer Science (EECS) and the Laboratory for Information and Decision Systems (LIDS), additionally affiliated with the Operations Research Center (ORC). He holds the X-Window Consortium Career Development Chair. He is interested in solid theoretical and algorithmic foundations for learning and computational decision-making under imperfect information, combining elements from game theory together with modern tools from machine learning, optimization, and statistics.

Prior to joining MIT, Farina spent a year as a research scientist at FAIR (Meta AI), working on Cicero, a human-level AI agent combining strategic reasoning and natural language. He holds a PhD from the Computer Science Department at Carnegie Mellon University.

Selected Publications

  • Černý, J., Ling, C. K., Chakrabarti, D., Zhang, J., Farina, G., Kroer, C., & Iyengar, G. (2024). Contested Logistics: A Game-Theoretic Approach. In Decision and Game Theory for Security (GameSec) (pp. 124–146). https://doi-org.ezproxyberklee.flo.org/10.1007/978-3-031-74835-6_7
  • Jacob, A. P., Shen, Y., Farina, G., & Andreas, J. (2024). The consensus game: Language model generation via equilibrium Search. In International Conference on Learning Representations (ICLR). https://doi-org.ezproxyberklee.flo.org/10.48550/arXiv.2310.09139

  • Anagnostides, I., Panageas, I., Farina, G., & Sandholm, T. (2024). Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 38(9), 9451–9459. https://doi-org.ezproxyberklee.flo.org/10.1609/aaai.v38i9.28799

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