AI Learns Skat: Novel Framework for Multi-Player Card Games
Published:Dec 17, 2025 13:27
•1 min read
•ArXiv
Analysis
This ArXiv paper presents a new framework for AI to play complex multi-player trick-taking card games, using Skat as a case study. The work demonstrates progress in applying AI to previously challenging game environments, possibly paving the way for advancements in other strategic domains.
Key Takeaways
- •Introduces an 'Outer-Learning' framework for multi-player card games.
- •Applies the framework to the game of Skat.
- •Potentially applicable to other strategic games.
Reference
“The paper uses Skat as a case study.”