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Rutgers University
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Achieve 9.97% higher accuracy in cross-domain human activity recognition while simultaneously reducing computation by 6.4x with a new sensor data tokenization and attention mechanism.
Forget tedious human-in-the-loop DAgger – WM-DAgger uses World Models to synthesize corrective actions for robots, achieving impressive 93% success with just 5 demos.
