NVIDIA posted a story about how researchers at Alibaba and University College London developed a deep-learning based system that learned how to execute strategies in the 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 players without being given any specific instruction on how best to manage combat. The software improved through trial and error and adapts to changes in the number and type of troops engaged in battle.
View the paper at arXiv.
