AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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In reinforcement learning with verifiable rewards (RLVR), imperfect verifiers can reward incorrect responses, creating opportunities for reward hacking. Using gradient flow with a fixed verifier, we characterize the conditions under which reward rises while correctness falls. We then show that the observations availabl...
This work proposes GraspMeanFlow, an SE(3)-equivariant MeanFlow framework for few-step 6-DoF grasp generation, and proves that a point-cloud-conditioned distribution transported by an equivariant average-velocity flow map remains invariant, so equivariance is retained under few-step sampling.
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