The Decision Service learns from experience to make context-aware choices among a small number of actions to optimize a user-defined outcome measure. Some example scenarios are:
The Decision Service supports the full data lifecycle of exploration, logging, learning, and deploying the learned models. The system offers the Multiworld Testing capability to evaluate exponentially more policies on a given data set than traditional A/B testing. See our project page to learn more.