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One-bit Bandit

Description: To run the code, you need to install the cvx package (http://cvxr.com/cvx/) first. One_Bit_Learn_c.m is the demo for the case the decision set is the unit ball. One_Bit_Learn_c_dis.m is the demo for the case the decision set is finite.

Reference: L. Zhang, T. Yang, R. Jin, Y. Xiao, and Z.-H. Zhou. Online Stochastic Linear Optimization under One-bit Feedback. In Proceedings of the 33rd International Conference on Machine Learning (ICML 2016), 2016

ATTN: This package is free for academic usage. You can run it at your own risk. For other purposes, please contact Prof. Zhi-Hua Zhou (zhouzh@nju.edu.cn).

Requirement: The package was developed with MATLAB 2012.

ATTN2: This package was developed by Mr. Lijun Zhang (zhanglj@lamda.nju.edu.cn). For any problem concerning the code, please feel free to contact Mr. Zhang.

Download: code (9MB)
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