AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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TCPO casts credit assignment as score-to-credit conversion and constructs turn-level advantages through reference-based comparisons and achieves the best or tied-best best-turn Pass@8 on Qwen3-4B and DeepSeek-R1-Distill-Llama-8B, reduces turns to success, and improves multi-turn agent performance.
This work introduces LEAP (Lean Environment-Feedback via Adaptive Pruning), a scalable and computationally efficient multi-turn RL framework optimized for low-level hardware accelerator alignment and proposes a Rank-Based Reward formulation, establishing a practical paradigm for low-level code RL.
Strong students can be obtained not by selecting a single better teacher, but by deliberately constructing and compressing a complementary teacher union, in an expand-then-compress framework that couples teacher construction with multi-teacher policy distillation.
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