Corpus ID: 18670075

A Multiworld Testing Decision Service

@article{Agarwal2016AMT,
  title={A Multiworld Testing Decision Service},
  author={A. Agarwal and S. Bird and Markus Cozowicz and Luong Hoang and J. Langford and Stephen Lee and J. Li and D. Melamed and Gal Oshri and Oswaldo Ribas and S. Sen and Alex Slivkins},
  journal={ArXiv},
  year={2016},
  volume={abs/1606.03966}
}
  • A. Agarwal, S. Bird, +9 authors Alex Slivkins
  • Published 2016
  • Computer Science, Mathematics
  • ArXiv
  • Applications and systems are constantly faced with decisions to make, often using a policy to pick from a set of actions based on some contextual information. We create a service that uses machine learning to accomplish this goal. The service uses exploration, logging, and online learning to create a counterfactually sound system supporting a full data lifecycle. The system is general: it works for any discrete choices, with respect to any reward metric, and can work with many learning… CONTINUE READING
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