Strong RL

Strong-RL Documentation

Strong-RL is a framework for developing and deploying reinforcement-learning based action recommendation platforms at scale.

At its core, Strong-RL makes developing such applications easier in two ways:

  1. By providing a conceptual framework with which to understand and approach your action recommendation problem.

  2. By providing a set of Spark-based pipeline components that can easily be imported and extended into a new Python application to yield a highly-configurable, robust, and transparent solution.

With these tools, developing a reinforcement-learning based action recommendation engine that operates at web scale can be done in a single Python file. Or, they can form the basis of a larger application that uses Strong-RL as a foundation upon which to build a more complex solution.

In this documentation, we review some fundamental concepts about Strong-RL along with documentation of its API and internals.