The National Science Foundation awarded a $600,000 Project Grant under its Computer and Information Science and Engineering program (CFDA 47.070) to the University of Florida to support research on the design and analysis of recursive algorithms with applications in machine learning, optimization, and reinforcement learning. The research aims to develop new techniques to ensure stability and accelerate the convergence of stochastic approximation algorithms, which are critical to training large-scale machine learning systems like ChatGPT. Key deliverables include fundamental research, graduate student mentoring, and dissemination of results through online lectures and an annual workshop. The project will focus on two specific application areas: reinforcement learning and gradient-free optimization. The award period is from Jul 1, 2023 to Jun 30, 2026.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $600.0k | 6/26/23 |