Ratliff, Nathan

5 publications

L4DC 2020 Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems Muhammad Asif Rana, Anqi Li, Dieter Fox, Byron Boots, Fabio Ramos, Nathan Ratliff

CoRL 2019 Learning Reactive Motion Policies in Multiple Task Spaces from Human Demonstrations M. Asif Rana, Anqi Li, Harish Ravichandar, Mustafa Mukadam, Sonia Chernova, Dieter Fox, Byron Boots, Nathan Ratliff

ICML 2019 Predictor-Corrector Policy Optimization Ching-An Cheng, Xinyan Yan, Nathan Ratliff, Byron Boots

CoRL 2019 Riemannian Motion Policy Fusion Through Learnable Lyapunov Function Reshaping Mustafa Mukadam, Ching-An Cheng, Dieter Fox, Byron Boots, Nathan Ratliff

AISTATS 2009 Inverse Optimal Heuristic Control for Imitation Learning Nathan Ratliff, Brian Ziebart, Kevin Peterson, J. Andrew Bagnell, Martial Hebert, Anind K. Dey, Siddhartha Srinivasa