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Research#Game Theory🔬 ResearchAnalyzed: Jan 10, 2026 12:08

Evolving Strategies in Games: A New Computational Approach

Published:Dec 11, 2025 04:38
1 min read
ArXiv

Analysis

This ArXiv article likely presents a novel computational method for determining evolutionarily stable strategies (ESS) in game theory, focusing on scenarios with imperfect information. The work has the potential to advance the understanding and application of game theory in fields like economics and AI.
Reference

The article's focus is on computing evolutionarily stable strategies in imperfect-information games.

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.