DeXtreme policies are trained to adapt to a wide range of conditions in simulation. Consequently, our vision-based policies significantly outperform the best vision policies in the literature on the same reorientation task and are competitive with policies that are given privileged state information via motion capture systems...
DeXtreme is a system to perform highly dextrous manipulation with robotic hands using scaled simulation data.