Incomplete learning from endogenous data in dynamic allocation.

The writers examine the problem of incomplete learning from endogenous data in dynamic allocation. They note that this problem is commonly referred to as the “discounted multi-armed bandit problem” and that the optimal solution has been shown to be the “index rule” that selects at each stage the ac...

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Bibliographic Details

Published in:	Econometrica Vol. 68; no. 6; pp. 1511 - 1517
Main Authors:	Brezzi, Monica, Lai, Tze Leung
Format:	Article
Published:	Wiley-Blackwell November 2000
Subjects:	Sequential analysis Resource allocation > Mathematical models Psychology of learning Mathematical models
Online Access:	View this record in EBSCOhost