AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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On-policy distillation (OPD) learns from teacher feedback on student-generated responses and has shown promise in reducing forgetting relative to supervised fine-tuning (SFT). However, its benefits and fragility remain incompletely understood. We study sequential distillation from multiple teachers, where the student m...
SI-CDB is introduced, an algorithm that selects opponent arms using a carefully designed heuristic for arm selection that enables saturation-insensitive reward learning and recovers the near-optimal dependence for linear reward classes, eliminating the unfavorable $1/\sigma'(\cdot)$ factor.
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