Back on Track: Deployment-time Policy Improvement via World
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Source roundup from published reports. Claims below are attributed to their publishers, not independently verified. arXiv Robotics — research abstracts: Back on Track: Deployment-time Policy Improvement via World Model Planning. This research proposes an offline-trained monitoring-and-intervention framework that improves visuomotor policies during deployment using black-box query access. The method employs a policy-conditioned liveness value and…
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- arXiv Robotics — research abstractsBack on Track: Deployment-time Policy Improvement via World Model Planning
This research proposes an offline-trained monitoring-and-intervention framework that improves visuomotor policies during deployment using black-box query access. The method employs a policy-conditioned liveness value and a compact latent world model to detect task progress loss and generate corrective actions in real-time, achieving significant improvements in task success rates on LIBERO-Goal and a Franka Panda manipulator.
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