HomeEventsHands-on Reinforcement Learning with Ray’s RLlib

Anyscale Academy

Hands-on Reinforcement Learning with Ray’s RLlib

LinkIntended Audience

  • Python programmers who want to get started with reinforcement learning and RLlib

LinkPrerequisites

  • Some Python programming experience

  • Some familiarity with machine learning

  • Experience in reinforcement learning and Ray would be helpful, but isn’t required

  • Experience with TensorFlow or PyTorch would be helpful, but isn’t required

LinkKey Takeaways

  • What is reinforcement learning and why RLlib

  • How to configure and hyperparameter tune RLlib

  • RLlib debugging best practices

GitHub repo >>>

Speakers

Sven Mika

Sven Mika

Machine Learning Engineer, Anyscale, Anyscale

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