Intel's New AI System Can Optimise RL Training On A Single System

Recently, researchers from the Intel Lab and the University of Southern California introduced an AI system known as Sample Factory that can optimise the efficiency of reinforcement learning algorithms on a single-machine setting. Sample Factory is a high-throughput training system optimised for a single-machine setting that combines a highly efficient, asynchronous, GPU-based sampler with off-policy correction techniques.

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Intel's New AI System Can Optimise RL Training On A Single System