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Bench-MFG: A Benchmark Suite for Learning in Stationary Mean Field Games
Bench-MFG proposes a standardized discrete-time mean field game benchmark suite with a problem taxonomy, random instance generation, and evaluation guidelines for learning algorithms.
Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026
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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 2/5