Project Grant 2530002
- This National Science Foundation Project Grant, awarded under the Computer and Information Science and Engineering program (CFDA 47.070), provides $467,141 to the University of Georgia Research Foundation to investigate decision-making frameworks for open multi-agent systems with various forms of uncertainty. The research aims to develop novel planning and reinforcement learning techniques to enable agents to operate optimally in open contexts where the system composition, tasks, and agent...
- The National Science Foundation awarded a $499,835 Project Grant to George Washington University under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) for the period of October 1, 2021 through September 30, 2024. The grant funds research titled "SMALL: HIGH-PERFORMANCE MULTI-AGENT REINFORCEMENT LEARNING" which will advance the development of multi-agent reinforcement learning techniques. As described under the CFDA program, the NSF aims to...
- The University of West Georgia received a $174,965 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program. The grant funding supports the development of an "Evidence-Aided Symbolic Reasoning Framework for Trustworthy Interdependent Multi-Modal Multi-Agent Machine Learning Tasks." This research project aims to facilitate a trustworthy artificial intelligence (AI) research infrastructure for solving...
- This Project Grant award of $299,743 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports a collaborative research project on use-inspired reinforcement learning (RL) for many-agent contexts. The project, led by the University of Southern Mississippi, aims to investigate techniques for RL agents to effectively model and learn from dynamic, multi-agent environments where individuals and groups must both cooperate and compete to...
- The University of Georgia Research Foundation, Inc. was awarded a $399,999 Project Grant from the National Science Foundation Division of Computer and Network Systems. The grant supports the collaborative research project "DEFENDING AGAINST SOCIAL ENGINEERING ATTACKS WITH IN-BROWSER AI" under the Computer and Information Science and Engineering program (CFDA #47.070). The research aims to develop in-browser artificial intelligence techniques to defend against social engineering...
- The National Science Foundation Division of Information and Intelligent Systems awarded a $143,624 Project Grant to the University of Georgia Research Foundation, Inc. under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The award will support a collaborative research project between multidisciplinary investigators to leverage advances in neuroscience data and develop brain-inspired artificial intelligence. Specifically, the researchers will analyze...
- The University of Georgia Research Foundation, Inc. received a three-year, $180,487 Project Grant award from the National Science Foundation to support research titled "COLLABORATIVE RESEARCH: DASS: A SOCIO-TECHNICAL FRAMEWORK FOR HANDLING DIGITAL EVIDENCE WITH SECURITY AND PRIVACY ASSURANCES." The award, made on October 1, 2021 under the Computer and Information Science and Engineering program (CFDA 47.070), will fund the development of a socio-technical framework to securely and...
- This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program aims to develop software frameworks that can efficiently serve and deploy machine learning models for a variety of AI-powered applications. The $600,000 award, spanning from October 2024 to September 2027, tasks the prime awardee, Georgia Tech Research Corporation, with creating agile mechanisms and policies to serve a family of AI models across...
- This Project Grant award of $398,990.00 from the National Science Foundation's Computer and Information Science and Engineering (CISE) program, awarded on August 1, 2025, supports research by the University of California, Irvine (UCI) to develop theoretical foundations for multi-agent learning systems. The project aims to design computationally efficient algorithms that can reliably converge to equilibrium states in cooperative and competitive multi-agent environments, as well as address open...
- This National Science Foundation (NSF) award under the Computer and Information Science and Engineering (CISE) program provides $300,000 over 3 years to conduct collaborative research on mathematical and algorithmic foundations of multi-task reinforcement learning. The research aims to address the data efficiency challenge of reinforcement learning, developing new techniques to require less data and computation when jointly learning multiple tasks versus learning each task individually. The...
The University of Georgia Research Foundation, Inc. (UGA Research Foundation) was awarded a $299,664 project grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The three-year grant, running from January 1, 2026 to December 31, 2028, will support research on use-inspired reinforcement learning for many-agent contexts, exploring techniques from statistical mechanics, control theory, and management sciences to enable AI agents to effectively learn when to cooperate and when to compete. The project aims to advance the theory and practice of AI relevant to learning in complex, multi-agent environments, and will produce program libraries for public use. This grant builds on UGA Research Foundation's extensive expertise in executing complex research projects across scientific disciplines, including infectious disease, environmental, agricultural, and technological domains, through partnerships with various federal agencies and research institutions.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $299.7k | 8/4/25 |