Motor Control

Guided Policy Search

Project Overview

We have developed a number of approaches to learning motor skills.


Learning Complex Neural Network Policies with Trajectory Optimization

Variational Policy Search via Trajectory Optimization

Guided Policy Search

Continuous Inverse Optimal Control with Locally Optimal Examples

Nonlinear Inverse Reinforcement Learning with Gaussian Processes

Feature Construction for Inverse Reinforcement Learning