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T1  - StreamingBandit : Experimenting with Bandit Policies 
SN  -  /  
UR  - http://hdl.handle.net/10138/324462 
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A1  - Kruijswijk, Jules; van Emden, Robin; Parvinen, Petri; Kaptein, Maurits 
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PB  -  
Y1  - 2020 
LA  - eng 
AB  - A large number of statistical decision problems in the social sciences and beyond can be framed as a (contextual) multi-armed bandit problem. However, it is notoriously hard to develop and evaluate policies that tackle these types of problems, and to use such policies in applied studies. To address this issue, this paper introduces StreamingBandit, a Python web application for developing and testing bandit policies in field studies. StreamingBandit can sequentially select treatments using (onlin... 
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KW  - sequential decision-making; multi-armed bandit; data streams; sequential experimentation; Python; CLINICAL-TRIALS; 112 Statistics and probability 
N1  -   
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ER  -