Reframing Object-Centric Reinforcement Learning: From Absolute to Relative Representations.

arXiv:2610.28197v1 Announce Type: cross Abstract: Object-centric reinforcement learning agents typically receive each object's position in a fixed global frame, even though their decisions usually depend on where objects are relative to one another. These abso