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STIMSMITH

Multi-Armed Bandit

Technique
First seen 7/10/2026
Last seen 8/19/2026
Evidence 4 chunks

NEIGHBORHOOD

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RELATIONSHIPS

3 connections
Adaptive Coverage Reward Mechanism ← uses 100% 1e
The module selection in ACRM is formulated as a Multi-Armed Bandit problem.
LiFU ← implements 90% 1e
LiFU adapts seed scoring coefficients via multi-armed bandit online feedback.
The Adaptive Coverage Reward Mechanism is based on the Multi-Armed Bandit formulation for module selection.