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Explicitly training LLM agents on runtime semantics via Harness Policy Distillation unlocks a 7.5x increase in autonomous task success and a 2.5x boost in runtime compliance on TRAJECT-Bench.
OLRA outperforms existing methods by achieving lower localization errors in complex driving scenarios, paving the way for more intuitive navigation systems.