SEAGuL: Sample Efficient Adversarially Guided Learning of Value Functions

Benoit Landry, Hongkai Dai, Marco Pavone

Abstract: Value functions are powerful abstractions broadly used across optimal control and robotics algorithms. Several lines of work have attempted to leverage trajectory optimization to learn value functi...