ARC-Bench: closed-loop replanning hides broken action ranking in frozen JEPA world models
Read the original at arxiv.org→arXiv:2609.05461v1 Announce Type: new Abstract: Reward-free latent world models plan by scoring candidate actions with distances in a frozen latent space: an action is preferred if its predicted future embedding...
Original headline: "ARC-Bench: Closed-Loop Replanning Masks Broken Action Ranking in Frozen JEPA World Models"
Coverage timeline
- Sep 9, 04:00 UTC arXiv cs.AI lead source ARC-Bench: Closed-Loop Replanning Masks Broken Action Ranking in Frozen JEPA World Models