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In episode one we optimized Torch A3C performance on the new Intel Xeon Phi (Knight's Landing) CPU. Arm MAP and Performance Reports identified bottlenecks in our framework and sped up model training by 7x.

To get further gains we found areas of the…

In February, a new paper from Google's DeepMind team appeared on arxiv. This one was interesting – they showed dramatically improved performance and training time of their Atari-playing Deep Q-Learning network. The training speedup was so great that…