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cs.AI2024
Predicting AI Agent Behavior through Approximation of the Perron-Frobenius Operator
Shiqi Zhang, Darshan Gadginmath, Fabio Pasqualetti
Predicting the behavior of AI-driven agents is particularly challenging without a preexisting model. In our paper, we address this by treating AI agents as nonlinear dynamical syst…
math.OC2024
Denoising Diffusion-Based Control of Nonlinear Systems
Karthik Elamvazhuthi, Darshan Gadginmath, Fabio Pasqualetti
We propose a novel approach based on Denoising Diffusion Probabilistic Models (DDPMs) to control nonlinear dynamical systems. DDPMs are the state-of-art of generative models that h…