Adversarial Feature Training for Generalizable Robotic Visuomotor Control
Xi Chen,Ali Ghadirzadeh,Mårten Björkman,Patric Jensfelt,Xi Chen,Ali Ghadirzadeh,Mårten Björkman,Patric Jensfelt
Deep reinforcement learning (RL) has enabled training action-selection policies, end-to-end, by learning a function which maps image pixels to action outputs. However, it's application to visuomotor robotic policy training has been limited because of the challenge of large-scale data collection when working with physical hardware. A suitable visuomotor policy should perform well not just for the t...
