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Beijing Academy of Artificial Intelligence, Peking University
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Current manipulation policies may excel at basic tasks but often fail to transfer learned skills to new contexts, exposing a significant gap in their real-world applicability.
DrivingAgent achieves a superior speed-accuracy trade-off in autonomous driving, revolutionizing how we design and schedule driving systems.
