Army Research Laboratory 9 August 2019 – 8 August 2024 Total award $1,250,000 Current state-of-the-art research on learning algorithms focuses on end-to-end approaches. The learning agent is initialized with no previous knowledge of the task nor the environment and the action selection process (trial-and-error) develops almost randomly. To efficiently and safely train autonomous systems in … Continue reading Enhancing the Cycle-of-Learning for Autonomous Systems to Facilitate Human-Agent Teaming