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arXiv Machine Learning By Harry Robertshaw, Maxence Boels, Nikola Fischer, Sebastien Ourselin, Christos Bergeles, Alejandro Granados, Thomas C Booth

Progressive Experience Fusion for Multi-Task World Model Control in Endovascular Navigation

Read the original on arXiv Machine Learning →

The paper introduces Progressive Experience Fusion (PEF) for training a multi-task TD-MPC2 controller to navigate endovascular paths across diverse vascular anatomies. PEF outperforms Soft Actor-Critic and base TD-MPC2, achieving 74% success on training anatomies and 90% on held‑out vasculatures. The controller also transfers to an unseen in‑vitro stroke patient, improving path ratio from 63% to 80% after fine‑tuning.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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