# Gabriele Farina

Published articles for Gabriele Farina.

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## This game-playing AI is the new champ at Stratego

DevFeed: [This game-playing AI is the new champ at Stratego](<https://devfeed.tech/articles/this-game-playing-ai-is-the-new-champ-at-stratego-62784.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/game-playing-ai-stratego-new-champ-0930>)

Author: Adam Zewe | MIT News

Published: 2026-09-30T15:00:00Z

Content type: news

Language: en

Sources: [MIT AI News](<https://devfeed.tech/sources/mit-ai-news.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [machine learning overfitting](<https://devfeed.tech/topics/machine-learning-overfitting.md>), [decision-making](<https://devfeed.tech/topics/decision-making.md>), [Electrical engineering and computer science (EECS)](<https://devfeed.tech/topics/electrical-engineering-and-computer-science-eecs.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [algorithms](<https://devfeed.tech/tags/algorithms.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [computer-science](<https://devfeed.tech/tags/computer-science.md>), [computer-science-and-technology](<https://devfeed.tech/tags/computer-science-and-technology.md>), [decision-time-planning](<https://devfeed.tech/tags/decision-time-planning.md>), [electrical-engineering-and-computer-science-eecs](<https://devfeed.tech/tags/electrical-engineering-and-computer-science-eecs.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [gabriele-farina](<https://devfeed.tech/tags/gabriele-farina.md>), [game](<https://devfeed.tech/tags/game.md>), [game-theory](<https://devfeed.tech/tags/game-theory.md>), [google-deepmind](<https://devfeed.tech/tags/google-deepmind.md>), [human-computer-interaction](<https://devfeed.tech/tags/human-computer-interaction.md>), [imperfect-information](<https://devfeed.tech/tags/imperfect-information.md>), [laboratory-for-information-and-decision-systems-lids](<https://devfeed.tech/tags/laboratory-for-information-and-decision-systems-lids.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [military](<https://devfeed.tech/tags/military.md>), [mit-schwarzman-college-of-computing](<https://devfeed.tech/tags/mit-schwarzman-college-of-computing.md>), [national-science-foundation-nsf](<https://devfeed.tech/tags/national-science-foundation-nsf.md>), [research](<https://devfeed.tech/tags/research.md>), [samuel-sokota](<https://devfeed.tech/tags/samuel-sokota.md>), [school-of-engineering](<https://devfeed.tech/tags/school-of-engineering.md>), [stanford](<https://devfeed.tech/tags/stanford.md>), [stratego](<https://devfeed.tech/tags/stratego.md>)

### AI overview

Researchers developed a machine-learning system that defeated top-ranked human Stratego players and outperformed other models while requiring less training computation. The system also performed well in other strategic games and could potentially support decision-making in settings with hidden information, such as military maneuvers, business negotiations, and cybersecurity.

### Source excerpt

Able to defeat top-ranked human players and more efficient than other models, the new system could help decision-makers in military maneuvers or business negotiations.