The Terminal Representation in Reinforcement Learning.

arXiv:2605.31289v3 Announce Type: replace-cross Abstract: Representation learning is a powerful tool for spatio-temporal abstraction within reinforcement learning (RL). Two well established approaches are through the successor representation (SR) and the defau