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Summary A multi-armed bandit problem is investigated in which rewards obtained from pulls of any arm depend on the states of the other arms, as well as on the state of the arm pulled. A Dynamic Allocation Index is defined for this class of problems, and it is shown that this leads to optimal policies.
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Stored only when both papers are in the corpus — 35 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.