This Project Grant award of $450,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research at Northeastern University to develop novel specification-guided multi-agent reinforcement learning (MARL) approaches. The key objectives are to: (A) optimize the decomposition and assignment of formal specifications to MARL agents, (B) analyze and explain the emergent coordinated behaviors of MARL policies, and (C) enable the transfer of MARL policies across tasks through simultaneous specification inference and policy learning. This research aims to construct more scalable, interpretable, and robust multi-agent systems for applications like self-driving vehicles, off-road autonomy, and advanced air mobility. The award period runs from October 1, 2025 to September 30, 2029, and no sub-awards are planned under this grant.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $450.0k | 6/27/25 |