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Thursday, October 1 • 9:35am - 10:05am
RLlib: Scalable RL for TensorFlow, PyTorch, and Beyond - Eric Liang, Anyscale

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Reinforcement learning is emerging as a practical tool for optimizing complex, unpredictable environments that can be simulated. For example, game artificial intelligence, system control, robotics, supply chain management, and finance. RLlib is an open-source library for reinforcement learning that offers both high scalability and a unified API for a variety of applications. In this talk we give an overview of RLlib, its design, and upcoming features.

Speakers
avatar for Eric Liang

Eric Liang

Software Engineer, Anyscale
Eric Liang is a software engineer at Anyscale and a graduate student at U.C. Berkeley, where he does research on reinforcement learning.



Thursday October 1, 2020 9:35am - 10:05am PDT
Virtual 1
  Ray and Its Libraries
  • Slides Included Yes