4 citations · 4 across the 7 of their papers we have counts for
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Asymmetric Nash Seeking via Best Response Maps: Global Linear Convergence and Robustness to Inexact Reaction Models
Mahdis Rabbani, Navid Mojahed, Shima Nazari
Nash equilibria provide a principled framework for modeling interactions in multi-agent decision-making and control. However, many equilibrium-seeking methods implicitly assume tha…
Structured Koopman Lifted Finite Memory Identification via Truncated Grunwald Letnikov Kernels
Navid Mojahed, Mahdis Rabbani, Shima Nazari
Nonlinear hereditary systems combine nonlinear state dependence with memory. Koopman lifting provides linear predictors for nonlinear dynamics, but standard formulations are Markov…
A Data Driven Structural Decomposition of Dynamic Games via Best Response Maps
Mahdis Rabbani, Navid Mojahed, Shima Nazari
Dynamic games are powerful tools to model multi-agent decision-making, yet computing Nash (generalized Nash) equilibria remains a central challenge in such settings. Complexity ari…