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An Update on Our App Investigation - meta.com
An Update on Our App Investigation meta.com
Taking Down More Coordinated Inauthentic Behavior - meta.com
Taking Down More Coordinated Inauthentic Behavior meta.com
Making search easier - About Amazon
Making search easier About Amazon
Shining a Brighter Light on Facebook Pages - meta.com
Shining a Brighter Light on Facebook Pages meta.com
People Can Now Find Mentors and Mentees in Groups - meta.com
People Can Now Find Mentors and Mentees in Groups meta.com
Hard Questions: The Line Between Hate and Debate - meta.com
Hard Questions: The Line Between Hate and Debate meta.com
قنوات بيوتيوب تقدم كل ما تحتاجه عن الأجهزة التقنية - الجزيرة نت
قنوات بيوتيوب تقدم كل ما تحتاجه عن الأجهزة التقنية الجزيرة نت
Supercharger - Tesla
Supercharger Tesla
Updates erhalten - Tesla
Updates erhalten Tesla
Roadster – Electric Sports Car | Tesla United Kingdom - Tesla
Roadster – Electric Sports Car | Tesla United Kingdom Tesla
Terrell McSweeny: How Should Facebook and Other Companies Protect Privacy While Letting People Share Their Information Between Apps and Services? - meta.com
Terrell McSweeny: How Should Facebook and Other Companies Protect Privacy While Letting People Share Their Information Between Apps and Services? meta.com
OpenAI Five Benchmark: Results
Yesterday, OpenAI Five won a best-of-three against a team of 99.95th percentile Dota players: Blitz, Cap, Fogged, Merlini, and MoonMeander—four of whom have played Dota professionally—in front of a live audience and 100,000 concurrent livestream viewers.
Building a community - About Amazon
Building a community About Amazon
Enforcing Our Community Standards - meta.com
Enforcing Our Community Standards meta.com
Legal | Tesla United Kingdom - Tesla
Legal | Tesla United Kingdom Tesla
Working Together to Give People More Control of Their Data - meta.com
Working Together to Give People More Control of Their Data meta.com
Glow: Better reversible generative models
We introduce Glow, a reversible generative model which uses invertible 1x1 convolutions. It extends previous work on reversible generative models and simplifies the architecture. Our model can generate realistic high resolution images, supports efficient sampling, and discovers features that can be used to manipulate attributes of data. We’re releasing code for the model and an online visualization tool so people can explore and build on these results.
Glow: Better reversible generative models
We introduce Glow, a reversible generative model which uses invertible 1x1 convolutions. It extends previous work on reversible generative models and simplifies the architecture. Our model can generate realistic high resolution images, supports efficient sampling, and discovers features that can be used to manipulate attributes of data. We’re releasing code for the model and an online visualization tool so people can explore and build on these results.
Learning Montezuma’s Revenge from a single demonstration
We’ve trained an agent to achieve a high score of 74,500 on Montezuma’s Revenge from a single human demonstration, better than any previously published result. Our algorithm is simple: the agent plays a sequence of games starting from carefully chosen states from the demonstration, and learns from them by optimizing the game score using PPO, the same reinforcement learning algorithm that underpins OpenAI Five.
Learning Montezuma’s Revenge from a single demonstration
We’ve trained an agent to achieve a high score of 74,500 on Montezuma’s Revenge from a single human demonstration, better than any previously published result. Our algorithm is simple: the agent plays a sequence of games starting from carefully chosen states from the demonstration, and learns from them by optimizing the game score using PPO, the same reinforcement learning algorithm that underpins OpenAI Five.