- 【博客】SimGANs: A Game Changer in Unsupervised Learning, Self Driving Cars, and More
简介：
Apple’s Learning from Simulated and Unsupervised Images through Adversarial Training (S+U Learning) lays down the blueprint for training state-of-the-art neural nets from only synthetic and unlabelled data. In this post we will see why this has huge potential, and apply it to an interesting problem: autonomous driving. We will refer to an implementation of SimGAN: https://github.com/wayaai/SimGAN, and to my 2nd favorite company behind waya.ai: comma.ai, throughout the post.
原文链接：https://medium.com/intuitionmachine/simgans-applied-to-autonomous-driving-5a8c6676e36b#.duoewdd7a
2.【视频】Game AI Development With OpenAI Universe | Two Minute Papers
简介：
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