Edward C. Williams

Learning to Parse Natural Language to Grounded Reward Functions with Weak Supervision

In order to intuitively and efficiently collaborate with humans, robots must learn to complete tasks specified using natural language. We represent natural language instructions as goal-state reward functions specified using lambda calculus. Using reward functions as language representations allows…