1 code implementation • 24 Oct 2018 • Aykut Ozgun Onol, Philip Long, Taskin Padir
The proposed method is compared to a version based on iterative linear quadratic regulator (iLQR) on a planar example.
Robotics
no code implementations • ICML 2018 • Peter Bartlett, Dave Helmbold, Philip Long
We provide polynomial bounds on the number of iterations for gradient descent to approximate the least squares matrix $\Phi$, in the case where the initial hypothesis $\Theta_1 = ... = \Theta_L = I$ has excess loss bounded by a small enough constant.