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[P] How to run evolution strategies on Google Kubernetes Engine

Ran into this blog post on Google Cloud blog. A bit surprising they are pushing evolution rather than TPUs / deep learning.

Reinforcement learning (RL) has become popular in the machine learning community as more and more people have seen its amazing performance in games, chess and robotics. In previous blog posts we’ve shown you how to run RL algorithms on AI Platform utilizing both Google’s powerful computing infrastructure and intelligently managed training service such as Bayesian hyperparameter optimization. In this blog, we introduce Evolution Strategies (ES) and show how to run ES algorithms on Google Kubernetes Engine (GKE) …

https://cloud.google.com/blog/products/ai-machine-learning/how-to-run-evolution-strategies-on-google-kubernetes-engine

https://github.com/lerrytang/es_on_gke

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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.