TD-MPC2 world models achieve 58% mean success in simulated endovascular navigation versus 36% for SAC, with comparable in-vitro rates but better path efficiency.
Pwm: Policy learning with large world models
2 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 2representative citing papers
IRR-Drive adds an adaptive multimodal reflection step (text intention plus predicted future BEV) that lets a VLA model self-correct its trajectory plan according to scene complexity and reports SOTA on NAVSIM.
citing papers explorer
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Toward Safe Autonomous Robotic Endovascular Interventions using World Models
TD-MPC2 world models achieve 58% mean success in simulated endovascular navigation versus 36% for SAC, with comparable in-vitro rates but better path efficiency.
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Intend, Reflect, Refine: An Adaptive Multimodal Reflection Framework for Autonomous Driving
IRR-Drive adds an adaptive multimodal reflection step (text intention plus predicted future BEV) that lets a VLA model self-correct its trajectory plan according to scene complexity and reports SOTA on NAVSIM.