Work

Balancing Efficiency and Complexity in Large Scale Multi-Agent Optimization: A Reconfigurable Mean Field Game Approach

Year: 2025

Type: conference-paper

Source: IEEE Conference on Control Technology and Applications (CCTA)

DOI: 10.1109/ccta53793.2025.11151415

Authors: Shawon Dey, Lijun Qian, Hao Xu

Institution: University of Nevada, Reno

Language: English

Topic: Stochastic processes and financial applications

Subfield: Finance

Field: Economics, Econometrics and Finance

Domain: Social Sciences

Open Access status: closed

Funders: National Science Foundation, Army Research Office

Awards: CAREER: Toward Hierarchical Game Theory and Hybrid Learning Framework for Safe, Efficient Large-scale Multi-agent Systems, G3294896131

OpenAlex ID: W4414117745

FWCI:

Cites: 15

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Related to: 10