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Research#AI📝 BlogAnalyzed: Dec 29, 2025 17:50

Tuomas Sandholm: Poker and Game Theory

Published:Dec 28, 2018 21:40
1 min read
Lex Fridman Podcast

Analysis

This article summarizes a discussion with Tuomas Sandholm, a prominent figure in AI and game theory. It highlights his achievements, particularly his work on Libratus, the AI that defeated top poker players. The article emphasizes Sandholm's focus on practical application, noting that his research group builds systems to validate their theoretical ideas. The mention of his publications and the availability of a video version on YouTube suggests a focus on disseminating knowledge and making it accessible to a wider audience. The article also provides links to further information about the podcast and the host.
Reference

Tuomas Sandholm is a professor at CMU and co-creator of Libratus, which is the first AI system to beat top human players at the game of Heads-Up No-Limit Texas Hold’em.

Research#AI in Games📝 BlogAnalyzed: Dec 29, 2025 08:32

Solving Imperfect-Information Games with Tuomas Sandholm - NIPS ’17 Best Paper - TWiML Talk #99

Published:Jan 22, 2018 17:38
1 min read
Practical AI

Analysis

This article discusses an interview with Tuomas Sandholm, a Carnegie Mellon University professor, about his work on solving imperfect-information games. The focus is on his 2017 NIPS Best Paper, which detailed techniques for solving these complex games, particularly poker. The interview covers the distinction between perfect and imperfect information games, the use of abstractions, and the concept of safety in gameplay. The paper's algorithm was instrumental in the creation of Libratus, an AI that defeated top poker professionals. The article also includes a promotional announcement for AI summits in San Francisco.
Reference

The article doesn't contain a direct quote, but summarizes the interview.