Autonomous Assessment of Demonstration Sufficiency via Bayesian Inverse Reinforcement Learning

Tu Trinh, Haoyu Chen, Daniel S. Brown

We examine the problem of determining demonstration sufficiency: how can a robot self-assess whether it has received enough demonstrations from an expert to ensure a desired level…