Representing Repeated Structure in Reinforcement Learning with Symmetric Motifs
Published in Workshop on Symmetry and Geometry in Neural Representations, NeurIPS 2022, 2022
This workshop paper demonstrates a method for compressing representations of expected state dynamics into a hierarchy of successor representations, using the geometric decomposition. Link to Paper