CAREER: Scaling Deep Reinforcement Learning for Societal-Scale Cyber-Physical Systems — NSF Award to Pennsylvania State Univ Unive
This project will develop artificial intelligence techniques to improve the operation of large-scale infrastructure systems, such as smart transportation networks and electric power grids, which are essential to modern life. These complex systems, known as societal-scale cyber-physical systems, integrate physical infra
| Award title | CAREER: Scaling Deep Reinforcement Learning for Societal-Scale Cyber-Physical Systems |
|---|---|
| Award ID | 2542543 |
| Awardee | Pennsylvania State Univ University Park |
| City | UNIVERSITY PARK |
| State | PA |
| Amount obligated | $685,588 |
| Principal investigator | Aron Laszka |
| Program | CPS-Cyber-Physical Systems |
| Start date | 07/01/2026 |
| Abstract | This project will develop artificial intelligence techniques to improve the operation of large-scale infrastructure systems, such as smart transportation networks and electric power grids, which are essential to modern life. These complex systems, known as societal-scale cyber-physical systems, integrate physical infrastructure with thousands of sensors, computing devices, and actuators. Due to their scale and distributed nature, managing these systems in real time poses a significant challenge. |
| Source | NSF Awards |
$799/mo
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