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ICQ: A Quantization Scheme for Best-Arm Identification Over Bit-Constrained Channels
We study the problem of best-arm identification in a distributed variant of the multi-armed bandit setting, with a central learner and multiple agents.
Constrained Pure Exploration Multi-Armed Bandits with a Fixed Budget
A key feature of this algorithm is that it is designed on the basis of an information theoretic lower bound for two-armed instances.
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