AutoRobotics-Zero
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Discovers zero-shot adaptable robot policies from scratch, including the automatic discovery of Python control code.
Zero-shot adaptability: Policies adapt to sudden environmental changes without any fine-tuning at test time - a critical property for robust robotics.
Python-code policies: Automatically discovers Python code that implements robot controllers - an interpretable, auditable policy representation.
Discovery from scratch: Policies are discovered from scratch rather than fine-tuned from pretrained ones, reducing assumptions about prior knowledge.
AutoML for robotics: Extends the AutoML paradigm into robotics, using search over code rather than over neural architectures.
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