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Thursday, October 1 • 10:10am - 10:40am
Utilizing Reinforcement Learning Techniques for Supply Chain with Amazon SageMaker - Anna Luo, AWS

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Reinforcement learning jobs are computationally expensive requiring multiple CPU and GPU instances. Researchers and practitioners need to manually set up the instances and manage utilization, especially in production. This process can be time consuming and adds additional operational overhead. Amazon SageMaker RL allows customers to focus on their RL research without the need to manage servers. It provides pre-built containers that supports RLlib with both TensorFlow and PyTorch framework. We will present how you can bring in your RL problem and use Amazon SageMaker RL to perform the training. You can easily manage and reproduce your experiments with either single or multiple instances. For production use, we will showcase how you can deploy the trained model with a single click and monitor the endpoint status.

avatar for Anna Luo

Anna Luo

Applied Scientist, Amazon Web Services
Anna Luo is an Applied Scientist in the AWS. She works on utilizing reinforcement learning techniques for different domains including supply chain and recommender system, in which Ray is extensively used. She received her Ph.D. in Statistics from University of California, Santa Barbara... Read More →

Thursday October 1, 2020 10:10am - 10:40am PDT
Virtual 2