The Confidence Bound Target (CBT) algorithm is designed for infinite arms bandit problem. It is shown that CBT algorithm achieves the regret lower bound for general reward distributions. Reference: Hock Peng Chan and Shouri Hu (2018) <arXiv:1805.11793>.
|Author||Hock Peng Chan and Shouri Hu|
|Maintainer||Shouri Hu <email@example.com>|
|Package repository||View on CRAN|
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