DEALIO: Data-Efficient Adversarial Learning for Imitation from Observation
Faraz Torabi,Garrett Warnell,Peter Stone,Faraz Torabi,Garrett Warnell,Peter Stone
In imitation learning from observation (IfO), a learning agent seeks to imitate a demonstrating agent using only observations of the demonstrated behavior without access to the control signals generated by the demonstrator. Recent methods based on adversarial imitation learning have led to state-of-the-art performance on IfO problems, but they typically suffer from high sample complexity due to a ...
