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Gap Entropy and Almost Instance-Wise Optimal Best-Arm Identification

Yao, Jiarui et al.
arXiv (OAI Expanded) · Papers
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computational-complexity
In the best-arm identification problem, we are given $n$ stochastic arms with unknown means and wish to identify the arm with the largest mean with probability at least $1-δ$, using as few samples as possible. We consider independent Gaussian rewards with unit variance and means in $[0,1]$. Chen and
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