This National Science Foundation (NSF) Office of Advanced Cyberinfrastructure grant, awarded under the Computer and Information Science and Engineering program (CFDA 47.070), provides $150,000 from October 1, 2023 to September 30, 2026 to the University of California, Los Angeles (UCLA) to conduct collaborative research on developing efficient and provably effective exploration strategies for sequential decision-making problems in artificial intelligence applications. The key products and services to be delivered under this Project Grant include: 1) Fast approximate sampling-based exploration strategies for contextual bandit problems with theoretical guarantees, 2) Generalization of these exploration algorithms to more complex sequential decision-making applications using deep neural networks, and 3) Establishing efficient and provably effective exploration strategies for reinforcement learning problems. The outcomes of this research will be translated into accessible tools and open-source software to benefit a range of AI applications in areas such as recommendation systems, robotics, games, and personalized healthcare. No subgrants are planned under this award.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $150.0k | 8/16/23 |