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Found 2 papers, 1 papers with code
Defending Against Unforeseen Failure Modes with Latent Adversarial Training
Despite extensive diagnostics and debugging by developers, AI systems sometimes exhibit harmful unintended behaviors.
High-Degrees-of-Freedom Dynamic Neural Fields for Robot Self-Modeling and Motion Planning
A robot self-model is a task-agnostic representation of the robot's physical morphology that can be used for motion planning tasks in the absence of a classical geometric kinematic model.
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