RL²: Fast reinforcement learning via slow reinforcement learning
RL²: Fast reinforcement learning via slow reinforcement learning Read More »
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Impactful scientific work requires working on the right problems—problems which are not just interesting, but whose solutions matter.
The latest information about the Unconference is now available at the Unconference wiki, which will be periodically updated with more information for attendees.
Deep learning is an empirical science, and the quality of a group’s infrastructure is a multiplier on progress. Fortunately, today’s open-source ecosystem makes it possible for anyone to build great deep learning infrastructure.
This post describes four projects that share a common theme of enhancing or using generative models, a branch of unsupervised learning techniques in machine learning. In addition to describing our work, this post will tell you a bit more about generative models: what they are, why they are important, and where they might be going.
OpenAI’s mission is to build safe AI, and ensure AI’s benefits are as widely and evenly distributed as possible.