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Australian Institute for Machine Learning, Adelaide University
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Agentic control in zero-shot navigation rivals industrial-scale policies, achieving up to 78% success with minimal interfaces and fewer resources.
Forget predefined maps: this VLN agent uses a learned, interactive world representation to achieve SOTA zero-shot performance and seamless sim-to-real transfer.
