Problem Statement

Develop operational simulations for defensive and offensive UGV urban operations using machine learning architectures.

Extend our multi-agent reinforcement learning framework and develop an approach so that learned behaviors can be adapted to new environments and scenarios.

Explore feasibility of transition of these architectures to real-world hardware.