Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
Distributed RL algorithms are provided using ray
Repository for Open Source Reinforcement Learning Framework JORLDY
JORLDY github link: https://github.com/kakaoenterprise/JORLDY
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ray-project/ray: An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
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