AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Few-step distillation reduces the sampling cost of diffusion and flow models, but existing approaches often require auxiliary score models or specialized architectures. We show that simple on-policy velocity regression already provides a strong foundation for 4-NFE generation. To represent teacher velocity variation wi...
RE-0, a recursively verified policy improvement framework, which improves both teacher-assisted execution and the standalone student, and generalizes to novel robots and scenes, and RE-OPD, which turns verified interventions into supervision for on-policy distillation.
PACE, a credit-assignment framework for post-training on long-horizon manipulation, centered on a phase-progress-aware critic, is presented, demonstrating that PACE consistently achieves significant improvements over the strongest baseline.
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