Learning Domain Randomization Distributions for Training Robust Locomotion Policies
Melissa Mozian,Juan Camilo Gamboa Higuera,David Meger,Gregory Dudek,Melissa Mozian,Juan Camilo Gamboa Higuera,David Meger,Gregory Dudek
This paper considers the problem of learning behaviors in simulation without knowledge of the precise dynamical properties of the target robot platform(s). In this context, our learning goal is to mutually maximize task efficacy on each environment considered and generalization across the widest possible range of environmental conditions. The physical parameters of the simulator are modified by a ...
