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Meta-learning for wrestling
We show that for the task of simulated robot wrestling, a meta-learning agent can learn to quickly defeat a stronger non-meta-learning agent, and also show that the meta-learning agent can adapt to physical malfunction.
Competitive self-play
We’ve found that self-play allows simulated AIs to discover physical skills like tackling, ducking, faking, kicking, catching, and diving for the ball, without explicitly designing an environment with these skills in mind. Self-play ensures that the environment is always the right difficulty for an AI to improve. Taken alongside our Dota 2 self-play results, we have increasing confidence that self-play will be a core part of powerful AI systems in the future.
Next.js 4: React 16 and styled-jsx 2
We are happy to introduce , which features support for React 16 and introduces a major upgrade for the default styling engine styled-jsx with support for .Next.js 4dynamic styles Read more
Path validation vulnerability, September 2017
Building Shopify Mobile with Native and Web Technology
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