AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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DiDPO: Diff-in-Diff Policy Optimization for Coding Agent Training
DiDPO is proposed, a critic-free RL method that constructs fine-grained credit units directly from the structure of code diffs directly from the structure of code diffs, offering a principled framework for fine-grained credit assignment in coding agent training.
SkillForge: Evolving Verifiable Skills for Reinforcement Learning Agents
SkillForge is proposed, a framework for continuous skill evolution that enables skills to be verified and refined through environment interaction and introduces evidence-based skill verification and multi-pathway skill induction, allowing the skill bank to continuously grow while maintaining its quality.