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Planned Restlessness: Delayed Meta Bandits with Budgets

Guha, Sudipto
arXiv (All) · Papers
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data-structures-and-algorithmsmachine-learning
We study episodic finite-horizon Bayesian bandits, or meta-bandits, with independent arms. Each episode draws fresh arm qualities from unknown recurring priors. Observations arrive after known delays, and plays obey hard per-episode caps and total budgets. A play earns reward and informs both the cu
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