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pro vyhledávání: '"Burtini, Giuseppe"'
Autor:
Burtini, Giuseppe Antonio
In this work, we explore an online reinforcement learning problem called the multi-armed bandit for application to improving outcomes in a web marketing context. Specifically, we aim to produce tools for the efficient experiment design of variations
Externí odkaz:
http://hdl.handle.net/2429/55064
Adaptive and sequential experiment design is a well-studied area in numerous domains. We survey and synthesize the work of the online statistical learning paradigm referred to as multi-armed bandits integrating the existing research as a resource for
Externí odkaz:
http://arxiv.org/abs/1510.00757
Publikováno v:
2013 26th IEEE Canadian Conference on Electrical & Computer Engineering (CCECE); 2013, p1-6, 6p
