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List<BeneficiaryHistory> -> Map<ClusterID, TransitionMatrix>
Group sparse beneficiary engagement histories into demographic or behavioral clusters to compute shared transition probability matrices for restless multi-armed bandits.
Problem it solves
Individual transition data is too sparse to reliably estimate personal RMAB state transitions, leading to poor scheduling policies.
Consumes
Emits
The real projects this mechanism was found in. Attribution is the point — this is how the best teams actually do it.