Improving Out-of-Distribution Generalization of Learned Dynamics by Learning Pseudometrics and Constraint Manifolds
Author:
Affiliation:
1. University of Michigan
2. Massachusetts Institute of Technology
Funder
Office of Naval Research
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10609961/10609862/10611657.pdf?arnumber=10611657
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4. Deep reinforcement learning in a handful of trials using probabilistic dynamics models;Chua;NeurIPS,2018
5. Learning where to trust unreliable models in an unstructured world for deformable object manipulation
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