AIBullisharXiv – CS AI · Mar 55/10
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Online Learning for Multi-Layer Hierarchical Inference under Partial and Policy-Dependent Feedback
Researchers developed a new variance-reduced EXP4-based algorithm for optimizing routing policies in multi-layer hierarchical inference systems. The solution addresses the challenge of sparse, policy-dependent feedback in AI systems where prediction errors are only revealed at terminal layers, improving stability and performance over standard importance-weighted approaches.