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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>.
Getting started
Browse package contents
Package details |
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| Author | Hock Peng Chan and Shouri Hu |
| Maintainer | Shouri Hu <e0054325@u.nus.edu> |
| License | GPL-2 |
| Version | 1.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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