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December 10, 2024
·
Chicago
ezbot: Scaling Deep RL with Ray
Learn how to use Ray’s distributed tuning and parallel processing to scale reinforcement learning predictions and training, including Kubernetes-based autoscaling for production.
Overview
We’ll walk through how ezbot uses the Ray Python libraries to scale reinforcement learning prediction and training for our customers. We leverage the distributed hyperparemeter tuning framework as well as the massively-parallel processing capabilities of Ray to make RL relatively simple.
Links
ezbot.ai automates AI-driven website optimization via no-code A/B testing.
Tech stack