Hierarchical Imitation Learning with a Probabilistic Policy Grammar

We're constructing a novel robotic learning algorithm for the class CS 333 (Safe & Interactive Robotics) that combines learning from demonstration with hierarchical reinforcement learning. The project is currently in progress.

Authors

Nikhil Bhattasali, Department of Computer Science, Stanford University
Sean Mullane, Department of Applied Physics, Stanford University