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Nanjing University
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Achieving optimal regret in generalized linear bandits with heavy-tailed noise using a novel one-pass update algorithm could revolutionize decision-making in dynamic environments.
Achieving a staggering 98.7% success rate in humanoid loco-manipulation by seamlessly chaining meta-skills through a novel contact flow representation.
