Value learning from trajectory optimization and Sobolev descent A step toward reinforcement learning with superlinear convergence properties
Value learning from trajectory optimization and Sobolev descent A step toward reinforcement learning with superlinear convergence properties
This paper combines model-based trajectory optimization and Sobolev learning to accelerate value function estimation for reinforcement learning.
Videos
Video placeholder
Figures
Figure placeholder