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Valet: A Standardized Testbed of Traditional Imperfect-Information Card Games

arXiv – CS AI|Mark Goadrich, Achille Morenville, \'Eric Piette|March 4, 2026 at 05:00 AM|1 views

🤖AI Summary

Researchers introduce Valet, a standardized testbed featuring 21 traditional imperfect-information card games designed to benchmark AI algorithms. The platform uses RECYCLE, a card game description language, to standardize implementations and facilitate comparative research on game-playing AI systems.

Key Takeaways

→Valet provides a comprehensive benchmarking suite of 21 diverse traditional card games for AI algorithm evaluation.
→The testbed addresses the challenge of assessing AI robustness across different imperfect-information game scenarios.
→Games are encoded using RECYCLE, a specialized card game description language for standardized implementations.
→The platform spans multiple genres, cultures, player counts, and game mechanics to ensure comprehensive testing.
→Baseline performance metrics using Monte Carlo Tree Search demonstrate the testbed's viability for AI benchmarking.

#ai-research #game-theory #benchmarking #machine-learning #imperfect-information #card-games #monte-carlo #algorithm-testing

Read Original →via arXiv – CS AI

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