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 deepmind.google
AlphaStar: Mastering the real-time strategy game StarCraft II - Google DeepMind
| | clemenswinter.com
Machine Learning and the Future of Video Games | Clemens' Blog
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| | The rapid progress in deep reinforcement learning (RL) over the last few years holds the promise of fixing the shortcomings of computer opponents in video games and of unlocking entirely new regions in game design space. However, the exorbitant engineering effort and hardware investments required to train neural networks that master complex real-time strategy games...
| | distill.pub
Open Questions about Generative Adversarial Networks
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| | What we'd like to find out about GANs that we don't know yet.
| | www.primaryobjects.com
Intelligent Heuristics for the Game Isolation using AI and Minimax | Primary Objects
11.2 parsecs away

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| | Learn how to create an artificial intelligence agent for the game, Isolation. We'll walk through how to create a web-based version of the game that can be played in the browser using React JavaScript.
| | vxlabs.com
Variational Autoencoder in PyTorch, commented and annotated. - vxlabs
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| I have recently become fascinated with (Variational) Autoencoders and with PyTorch. Kevin Frans has a beautiful blog post online explaining variational autoencoders, with examples in TensorFlow and, importantly, with cat pictures. Jaan Altosaar's blog post takes an even deeper look at VAEs from both the deep learning perspective and the perspective of graphical models. Both of these posts, as well as Diederik Kingma's original 2014 paper Auto-Encoding Variational Bayes, are more than worth your time.