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Wednesday, May 27 • 1:40pm - 5:20pm
Afternoon Tutorial: Hands-on Reinforcement Learning with Ray and RLlib - Pre-registration Required

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You are familiar with Ray, for example, you attended the morning tutorial, Distributed Python with Ray; Hands-on with the core API. You are interested in reinforcement learning and exploring in some depth how Ray’s RLlib supports it.

Tutorial Description
Reinforcement learning requires a variety of computational patterns: data processing, simulations, model training, model serving. etc. Few frameworks efficiently support all these patterns at scale.
In this hands-on tutorial, we’ll see how Ray and RLlib seamlessly and efficiently support these workloads, providing an ideal platform for building RL applications. We’ll deep dive into Ray and RLlib APIs. We’ll train and serve an RL-based application.

Wednesday May 27, 2020 1:40pm - 5:20pm
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