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RLlib (Ray Project)
A scalable and unified reinforcement learning library built on top of Ray for training AI agents.
About
RLlib is an open-source library for reinforcement learning that provides a comprehensive set of algorithms and tools for training agents in diverse simulated environments. Built on top of Ray, it offers scalability and ease of use for researchers and developers building and deploying RL applications.
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What does RLlib (Ray Project) do?
RLlib is an open-source library for reinforcement learning that provides a comprehensive set of algorithms and tools for training agents in diverse simulated environments. Built on top of Ray, it offers scalability and ease of use for researchers and developers building and deploying RL applications.
Where is RLlib (Ray Project) headquartered?
RLlib (Ray Project) is headquartered in Berkeley, United States.
When was RLlib (Ray Project) founded?
RLlib (Ray Project) was founded in 2016.
What industry does RLlib (Ray Project) operate in?
RLlib (Ray Project) operates in Reinforcement Learning, AI Infrastructure, Developer Tools, Machine Learning, Open Source, Foundation Model.