Amazon SageMaker

Amazon SageMaker is a managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning models at scale. It is the quickest and easiest way for you to deploy ML models into production.

Amazon SageMaker has a feature called Amazon SageMaker RL to help you specifically build, train, and deploy RL models at scale. It supports RL for Apache MXNet and Tensorflow. It also includes support for different toolkits like OpenAI Gym, Intel Coach, and Berkeley Ray RLLib. You can also create your own custom environments using other RL libraries like TensorForce or StableBaselines.

For more information, check out AWS documentation about Amazon SageMaker and Amazon SageMaker RL. Also, check out our AWS Machine Learning Blog