The author proposes leveraging domain symmetry through data augmentation and auxiliary losses to enhance a recurrent SAC agent for solving symmetric POMDPs efficiently.
The author proposes a method to improve robotic assembly tasks by integrating data augmentation and auxiliary losses in a recurrent SAC agent, focusing on solving symmetric POMDPs efficiently.