Approximate Inverse Reinforcement Learning from Vision-based Imitation Learning
Approximate Inverse Reinforcement Learning from Vision-based Imitation Learning
In this work, we present a method for obtaining an implicit objective function for vision-based navigation. The proposed methodology relies on Imitation Learning, Model Predictive Control (MPC), and an interpretation technique used in Deep Neural Networks. We use Imitation Learning as a means to do Inverse Reinforcement Learning in order …