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December 15, 2021 6:00PM The Mid-America Club

Hosted By ACM Chicago | Co-hosted by Polymorphic Systems, Inc.

Topic Reinforcement Learning with Ray RLlib
Speaker Dean Wampler
Principal Software Engineer
Domino Data Lab
When December 15, 2021 – 6:00PM
Where Zoom Online Presentation
RSVP or call 312.861.1100
Dean Wampler, Speaker

Dean Wampler Dean Wampleris a Chicago-based expert in data engineering for scalable, streaming data systems and applications of machine learning and artificial intelligence (ML/AI). He is a Principal Software Engineer at Domino Data Lab. Previously, he worked at Anyscale, where he focused on scalable ML with Ray, and at Lightbend, where he developed distributed streaming data systems using Apache Spark, Apache Kafka, Kubernetes, and other tools.

Dean is the author of Programming Scala, What Is Ray? Distributed Computing Made Simple, and Fast Data Architectures for Streaming Applications, among other titles from O’Reilly. Dean has a Ph.D. in Physics from the University of Washington.

Agent Training with RLlib

Reinforcement learning (RL) trains an agent to maximize a cumulative reward in an environment.

We will start with why RL is important, how it works, and several applications of RL. The presentation continues with how RL requires a variety of computational patterns: data processing, simulations, model training, model serving, etc.

Finally, Dean will discuss how RLlib, implemented with Ray, seamlessly and efficiently supports RL, providing an ideal platform for building Python-based, RL applications with an intuitive, flexible API. You will also learn how RLlib is one of the few frameworks that efficiently supports all these patterns at scale.

Join Us And Maximize Your Cumulative Rewards

Listen and learn as Dean Wampler explores the unique potential available with Ray RLlib and its applications in machine learning.

About Domino Data Lab

Domino Data Lab is the Enterprise MLOps platform trusted by over 20% of the Fortune 100. Our products enable thousands of data scientists to develop better medicines, grow more productive crops, adapt risk models to major economic shifts, build better cars, improve customer support, or simply recommend the best purchase to make at the right time. At Domino, our mission is to unleash the power of data science to address the world’s most important challenges.

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