A Fast, Convergent Algorithm for Solving Non-convex Partially-Decoupled Generalized Nash Equilibrium Problems
June 20, 2026·
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0 min read
Bennet Outland
V Arya
Abstract
Introduces FALCON, a Fast Augmented Lagrangian Convexification algorithm for solving non-convex partially-decoupled generalized Nash equilibrium problems in multi-agent systems with global convergence guarantees.
Type
Publication
Forthcoming
Authors
Graduate Researcher
Outland is a doctoral student at the University of Colorado Boulder, Smead Department of Aerospace Engineering Sciences. His research is in differential game theory, safe multi-agent systems, and computational astrodynamics, with a focus on algorithms that are tractable enough to run onboard while providing formal guarantees.