On Preference Coverage Collapse from Hindsight Relabeling in Multi-Objective Reinforcement Learning.

arXiv:2609.26918v1 Announce Type: cross Abstract: Hindsight relabeling which retroactively replacing a transition's goal with the outcome the agent actually achieved is an effective tool for improving sample-efficiency in Reinforcement Learning (RL). A natural