Polymatrix Competitive Gradient Descent

no code implementations • 16 Nov 2021 • Jeffrey Ma, Alistair Letcher, Florian Schäfer, Yuanyuan Shi, Anima Anandkumar

In this work we propose polymatrix competitive gradient descent (PCGD) as a method for solving general sum competitive optimization involving arbitrary numbers of agents.

Multi-agent Reinforcement Learning

Diagnostic Image Quality Assessment and Classification in Medical Imaging: Opportunities and Challenges

no code implementations • 5 Dec 2019 • Jeffrey Ma, Ukash Nakarmi, Cedric Yue Sik Kin, Christopher Sandino, Joseph Y. Cheng, Ali B. Syed, Peter Wei, John M. Pauly, Shreyas Vasanawala

Magnetic Resonance Imaging (MRI) suffers from several artifacts, the most common of which are motion artifacts.

General Classification Image Quality Assessment