Project Grant 2549536
- The National Science Foundation Division of Computer and Network Systems awarded The Pennsylvania State University $685,588 on July 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop deep reinforcement learning techniques for managing societal-scale cyber-physical systems such as smart transportation networks and electric power grids. The recipient will advance the theoretical and algorithmic foundations of deep reinforcement learning by...
- 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...
- The National Science Foundation Division of Information and Intelligent Systems awarded The Pennsylvania State University $400,000 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to support collaborative research on neuro-AI foundations for long-range dependency tasks. The project addresses fundamental challenges in enabling spiking neural networks to efficiently handle long-range dependencies and generative tasks for edge-based AI...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded The Pennsylvania State University $335,119 on August 1, 2026, under the Engineering program (CFDA 47.041) to develop data-driven agentic artificial intelligence approaches for multidisciplinary design optimization of autonomous engineered systems. The project will create computational and data-enabled solutions that reduce design time and cost across systems involving interactions across...
- 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...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Pennsylvania $354,579 on June 1, 2026, under the Computer and Information Science and Engineering program to develop a science of AI reliability that identifies failure modes in AI systems and designs methods to make them more dependable in high-stakes applications such as medical diagnosis. The research characterizes why transformer-based AI systems learn brittle shortcuts rather than...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded The Pennsylvania State University $270,000 on January 1, 2027, under the Engineering program (CFDA 47.041) to develop a subspace optimization framework for resource-efficient and privacy-preserving fine-tuning of large language models. The research addresses the challenge of adapting general-purpose LLMs to specialized tasks without requiring substantial computing resources or sensitive...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded $300,000 to Texas A&M Engineering Experiment Station on July 1, 2026, under the Engineering program (CFDA 47.041) to develop decentralized multi-agent reinforcement learning algorithms for constrained Markov games. The project addresses how multiple autonomous decision-makers—such as robots, energy resources, or actuators—can learn to operate safely and efficiently in dynamic and uncertain...
- The National Science Foundation Division of Mathematical Sciences awarded The Pennsylvania State University $300,000 on July 1, 2026, under the Mathematical and Physical Sciences program (CFDA 47.049) to develop a systematic framework for quantum-accelerated reinforcement learning in complex systems control. The project delivers research into integrating quantum computing with machine learning to accelerate training of artificial intelligence systems that govern power grids and advanced...
- 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 finance. The research pursues two complementary thrusts: an offline setting using double-loop learning with dual methods to solve nonconvex optimization and implicit function theorem approaches for efficient reward learning, and an online setting for continuous learning scenarios. The unified bi-level optimization framework separates upper-level reward function learning from lower-level constraint and policy learning, directly tackling two limitations in inverse constraint learning—the assumption that demonstrator reward functions are available and the lack of safety guarantees for learned policies. Performance takes place in State College, Pennsylvania, with a period of performance through July 31, 2029. The project supports workforce development at the intersection of AI, applied mathematics, and robotics while accelerating AI deployment in human-centered and safety-critical domains with greater accountability and transparency.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $400.0k | 8/10/26 |