Ray:A Distributed Computing Platform for Reinforcement Learning
summary
Ray is a distributed computing platform designed specifically for reinforcement learning (RL) workloads. The conversation covers Ray itself and how it supports building RL applications, and also touches on related RISE Lab projects including the Clipper prediction-serving system and the Tegra stream-processing engine.
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