AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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RCA-DCM improves top-1 accuracy over the strongest baseline on both Sock Shop and Online Boutique, and when the true root cause in the causal chamber is unobserved and acts as a latent confounder, it recovers the exact root-cause set more often than any competing method.
Covariate-Adjusted Residual Policy Learning (CAR-PL) is introduced, an action-wise R-learner that operates directly on multi-hot logs and regularizes selection by observational support and support objective-specific ranking of SMB financial guidance from multi-action accounting logs.
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