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ralph lauren polo

 
Alejandro Francetich
 
''Efficient multi-agent experimentation and multi-choice bandits''
( 2018, Vol. 38 No.4 )
 
 
The first best in the multi-agent experimentation problem of Klein and Rady (2011) can be reinterpreted as a multi-choice bandit problem where a researcher experiments on up to two projects simultaneously. We exploit this analogy to characterize the optimal strategy: If the cost or the discount rate are low enough, after working on a single project unsuccessfully, the researcher takes on both projects at once. When the “bad project” can also yield successes, as in Keller and Rady (2010), we provide an example where the researcher delays taking on the second project, and we show that she can give up earlier in particular if false positives are arbitrarily unlikely.
 
 
Keywords: Experimentation, two-armed bandits, multi-choice bandits, negatively correlated arms, Poisson process
JEL: D8 - Information, Knowledge, and Uncertainty: General
D9 - Intertemporal Choice and Growth: General
 
Manuscript Received : Jul 08 2018 Manuscript Accepted : Oct 10 2018

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