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CBT

Confidence Bound Target Algorithm

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>.

Versions across snapshots

VersionRepositoryFileSize
1.0 rolling linux/jammy R-4.5 CBT_1.0.tar.gz 21.2 KiB
1.0 rolling linux/noble R-4.5 CBT_1.0.tar.gz 21.1 KiB
1.0 rolling source/ R- CBT_1.0.tar.gz 3.4 KiB
1.0 latest linux/jammy R-4.5 CBT_1.0.tar.gz 21.2 KiB
1.0 latest linux/noble R-4.5 CBT_1.0.tar.gz 21.1 KiB
1.0 latest source/ R- CBT_1.0.tar.gz 3.4 KiB
1.0 2026-04-26 source/ R- CBT_1.0.tar.gz 3.4 KiB
1.0 2026-04-23 source/ R- CBT_1.0.tar.gz 3.4 KiB
1.0 2026-04-09 windows/windows R-4.5 CBT_1.0.zip 23.6 KiB
1.0 2025-04-20 source/ R- CBT_1.0.tar.gz 3.4 KiB