Project Grant 2530391
- The National Science Foundation Division of Computing and Communication Foundations awarded Carnegie Mellon University $331,723 on June 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for research developing new mathematical tools to solve large-scale optimization and data-analysis problems. The award funds research combining combinatorial and analytic techniques to advance algorithms and complexity theory. The optimization component develops interior...
- The National Science Foundation Division of Computing and Communication Foundations awarded a $249,999 Project Grant to Carnegie Mellon University from January 1, 2022 to December 31, 2024. The grant supports the "COLLABORATIVE RESEARCH: AF: SMALL: FOUNDATIONS OF ALGORITHMS AUGMENTED WITH PREDICTIONS" project under the Computer and Information Science and Engineering program (CFDA #47.070). This program aims to advance computing and information sciences through investigator-initiated...
- The National Science Foundation Division of Computing and Communication Foundations awarded Carnegie Mellon University $349,005 on September 1, 2026, to develop efficient methods for human feedback to artificial intelligence agents operating in complex environments such as code editors and web browsers. The award supports research organized around three thrusts: developing models and benchmarks for agents that interpret blended feedback combining natural language instructions with direct user...
- The National Science Foundation Division of Computing and Communication Foundations awarded Carnegie Mellon University $344,345 on July 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to conduct foundational research on randomized data structures and their computational properties. The research addresses three collections of problems designed to advance understanding of data structures. The first focuses on space efficiency for basic objects including...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Texas at Austin $749,065 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop mathematical foundations for decision-making in information-limited environments. The project focuses on four research directions at the interface of algorithms, optimization, and economic theory. The work develops models for optimization when...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Southern California $871,225 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop theoretical foundations for multi-agent learning systems in artificial intelligence. The project advances the theory of online optimization and learning within multi-agent systems through three research thrusts. The first thrust characterizes optimal...
- The National Science Foundation Division of Computing and Communication Foundations awarded Massachusetts Institute of Technology $500,000 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for collaborative research on reinforcement learning methods for imperfect-information games. The project develops theoretically sound, scalable policy-gradient algorithms and decision-time planning methods that enable deep reinforcement learning to operate...
- The National Science Foundation Division of Computing and Communication Foundations awarded Arizona State University $719,647 on July 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop mathematical and computational foundations for decision-making under conditions of hidden information and logic-based constraints. The project addresses decision scenarios in which one party possesses information unavailable to others and behavior must satisfy...
- The National Science Foundation Division of Computing and Communication Foundations awarded $800,000 under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to the University of California, Berkeley for a four-year collaborative research project grant. The project aims to improve the sample efficiency of reinforcement learning algorithms in both offline and online settings through techniques like optimistic exploration and pessimistic exploitation. It...
- The National Science Foundation Division of Mathematical Sciences awarded Carnegie Mellon University $150,000 on July 1, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) for collaborative research on statistical foundations for scalable and robust data valuation in machine learning and artificial intelligence systems. The research develops statistical and machine-learning methods to measure the value of data contributions in AI model training and data-driven decision...
The National Science Foundation Division of Computing and Communication Foundations awarded Carnegie Mellon University $600,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop mathematical foundations and algorithms for multi-armed bandit problems with querying and cost information. The project addresses decision-making scenarios where information acquisition and action selection carry explicit costs. Research will focus on formulations of bandit problems motivated by applications including health care communications, machine learning model selection, recommendation systems, and wireless communications. The work will develop new algorithms for settings where a decision maker can obtain partial information about an action's outcome through testing, simulation, or preliminary evaluation at an additional cost, and for cases where identifying the least costly option meeting a desired reward level is preferable to selecting the highest-reward action regardless of expense. The award funds graduate student training and integration of research results into courses as part of education and workforce development contributions. Performance runs through September 30, 2029, with work conducted in Pittsburgh, Pennsylvania.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $600.0k | 7/21/26 |