Robust Imitation Learning for Certifiable Autonomy: A New Layered Control Architecture

This research explores a novel approach to imitation learning, focusing on robustness through a layered control architecture. The study's focus on certifiable autonomy highlights a critical area for the reliable deployment of AI systems.

• •Addresses challenges in imitation learning related to distributional robustness.
• •Proposes a layered control architecture for enhanced reliability.
• •Aims to achieve certifiable autonomy, crucial for safety-critical applications.