Google explains OpenRL, a self-hosted reinforcement learning API for Kubernetes
Overview
Google engineers Sunil Arora and Justin Santa Barbara explain how OpenRL separates the reinforcement learning loop from compute infrastructure on Kubernetes, according to SiliconANGLE. Arora says the split lets researchers keep control of their experiments while infrastructure engineers handle scaling.
OpenRL is a self-hosted training API that Google released as a research preview in June 2026. Arora says Google's Agent Substrate packs more sandboxes onto limited compute for reward calculation.
Written by AI from the articles below · updated Nov 11, 9:36 PM ET
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- SiliconANGLE · AINewsGoogle engineers explain how OpenRL runs reinforcement learning on Kubernetes
AIGoogle engineers Sunil Arora and Justin Santa Barbara explain how OpenRL separates the reinforcement learning loop from compute infrastructure on Kubernetes. Arora says OpenRL, a self-hosted training API released as a research preview in June 2026, lets researchers focus on their RL loop while infrastructure engineers handle scaling. Google's Agent Substrate packs more sandboxes onto limited compute for reward calculation, according to Arora.
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