Training batch reinforcement learning policies with Amazon SageMaker RL Amazon Web Services

Amazon SageMaker is a fully managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning (ML) models at any scale. In addition to building ML models using more commonly used supervised and unsupervised learning techniques, you can also build reinforcement learning (RL) models using Amazon SageMaker RL. Amazon SageMaker RL includes pre-built RL libraries and algorithms that make it easy to get started with reinforcement learning. For more information, see Amazon SageMaker RL – Managed Reinforcement Learning with Amazon Sagemaker. Amazon SageMaker RL makes it easy to integrate with various simulation environments such as AWS RoboMaker, Open AI Gym, open-source environments, and custom-built environments for training RL models.