Researchers from Alibaba and University College London developed a deep learning-based system that learned how to execute a number of strategies for the popular real-time strategy game StarCraft. Using CUDA, TITAN X and GTX 1080 GPUs and cuDNN with the TensorFlow deep learning framework, the large-scale multiagent system used reinforcement learning to learn strategies employed by high-level��
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