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.

Read more: https://analyticsindiamag.com/intels-new-ai-system-can-optimise-reinforcement-learning-training-on-a-single-system/

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