Correlated equilibria for mean field games with progressive strategies
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Abstract (arXiv)
In a discrete space and time framework, we study the mean field game limit for a class of symmetric N-player games based on the notion of correlated equilibrium. We give a definition of correlated solution that allows to construct approximate N-player correlated equilibria that are robust with respect to progressive deviations. We illustrate our definition by way of an example with explicit solutions.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 3 Dec 2022.
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Citing papers per year: 2023: 1; 2024: 0; 2025: 1.
2 papers.
- 2023Major-Minor Mean Field Multi-Agent Reinforcement Learningcited by 4
- 2025The Learning Approach to Gamescited by 0
- 2025The Learning Approach to Games28 Feb 2025
- 2023Major-Minor Mean Field Multi-Agent Reinforcement Learning19 Mar 2023