Project Grant 2621763
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded New Jersey Institute of Technology $224,996 on July 1, 2026, to develop reinforcement learning methods that enforce high-probability safety constraints for real-world cyber-physical systems including unmanned aerial vehicles, mobile robots, and networked infrastructures. The project, funded under the Engineering program (CFDA 47.041), runs through June 30, 2029, and is performed in Newark, New...
- This National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems award, CFDA 47.041 Engineering, will provide $193,000 from September 1, 2024 to August 31, 2027 to New York University (NYU) to develop new theories and methodologies for safe reinforcement learning in domains such as robotics, autonomous driving, and power systems. The key products and services to be delivered under this Project Grant include: 1) Formulating safety measures as general objectives...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded Massachusetts Institute of Technology $659,678 on April 1, 2026, under the CAREER: Trustworthy Learning-Enabled Autonomy project grant (NSF Engineering, CFDA 47.041). The project develops mathematical theory and efficient algorithms that allow autonomous systems to learn from data while reliably respecting safety constraints. The work addresses vulnerabilities in learning-enabled vehicles, robots,...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded North Carolina State University $509,248 on April 15, 2026, under the Engineering program (CFDA 47.041) to develop a foundational framework for robust reinforcement learning in data-driven control systems. The project addresses theoretical and practical gaps in reinforcement learning algorithms when applied to safety-critical autonomous systems. Current RL approaches assume perfect feedback data, but...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded Rensselaer Polytechnic Institute $299,935 on July 1, 2026, under the Engineering program (CFDA 47.041) to develop decentralized multi-agent reinforcement learning algorithms that enable multiple autonomous decision-makers to learn safe and efficient operation in dynamic, competitive environments without relying on central coordination. The project addresses foundational challenges in safe learning...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded The Pennsylvania State University $400,000 on August 15, 2026, under the Engineering program (CFDA 47.041) for theoretical and algorithmic foundations research in provable safe inverse reinforcement learning. The project develops theory and algorithms enabling AI systems to learn both reward functions and safety constraints from demonstrations, addressing applications in robotics, healthcare, and...
- The National Science Foundation (NSF) awarded a $194,000 Project Grant under the Engineering program (CFDA 47.041) to Georgia Tech Research Corp to conduct research on safe reinforcement learning. The project aims to develop new approaches for training, improving, and evaluating reinforcement learning policies that are robust to distribution shift and non-stationarity, with the goal of ensuring safety in applications such as robotics, autonomous driving, and power systems. Key innovations...
- The National Science Foundation (NSF) awarded a $750,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Oregon State University (OSU). The purpose of this 4-year award, with a start date of September 1, 2024, is to develop tools and methods to design provably safe autonomous systems, with a focus on addressing safety challenges in reinforcement learning (RL) agents. Key activities include developing inverse RL algorithms to align agent norms...
- The National Science Foundation (NSF) has awarded a $266,589 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of California, Berkeley to develop safe learning-enabled systems that can navigate uncertain environments. The project aims to create a two-phase design process that combines an offline robust synthesis phase with an online safety monitoring and adaptation phase, enabling provable end-to-end safety guarantees for learning-enabled...
- The National Science Foundation Division of Information and Intelligent Systems awarded a $545,980 Project Grant to Princeton University from August 1, 2021 through July 31, 2026 under the Computer and Information Science and Engineering program (CFDA 47.070). The grant funds research at Princeton University to develop generalization and safety guarantees for learning-based control of robots. The Computer and Information Science and Engineering program supports investigator-initiated research...
The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded New Jersey Institute of Technology $324,116 on October 1, 2026, for research into inverse constraint reinforcement learning for safe autonomous systems. The project, "Safety from Weak Feedback: Inverse Constraint Reinforcement Learning for Safe Control and Safe Online Adaptation," runs through September 30, 2029, and is performed in Newark, New Jersey. The research establishes mathematical foundations enabling learning-based autonomous systems to discover safety limits from coarse, after-the-fact feedback rather than precise moment-by-moment safety specifications. The project develops theory determining when safety constraints can be learned from limited feedback, methods measuring uncertainty relevant to safety maintenance, and strategies for cautiously exploring safety boundaries without taking unacceptable risks. Deliverables include theoretical advances in learning safety from weak trajectory-level feedback, open educational resources, a free online course, public software and benchmarks, and research training for students from high school through doctoral levels. The work targets improvements in reliability of autonomous systems deployed in healthcare, transportation, and other safety-critical settings. This award is funded under NSF's Engineering program (CFDA 47.041).
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $324.1k | 8/11/26 |