AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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When rewards are sparse, reinforcement learning with verifiable rewards (RLVR) often uses hints or intermediate guidance to generate more successful rollouts. This enrichment biases policy-gradient updates unless corrected via importance weights, but existing methods omit correction or truncate importance weights in or...
To mitigate the human cost of failure attribution, AgentRx is presented, an automated diagnostic framework that pinpoints the critical failure step in a failed agent trajectory and improves step localization by 75% on average over prior work, while providing failure category attribution.
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