Equivariant Reinforcement Learning for Robotic Manipulation

Abstract

This work proposes equivariant methods for making reinforcement learning in SE(2) space more sample efficient.

Publication
In The 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making