Learning dexterity
We’ve trained a human-like robot hand to manipulate physical objects with unprecedented dexterity.
We’ve trained a human-like robot hand to manipulate physical objects with unprecedented dexterity.
A powerful, under-explored tool for neural network visualizations and art.
Our first class of OpenAI Scholars is underway, and you can now follow along as this group of experienced software developers becomes machine learning practitioners.
A simple and surprisingly effective family of conditioning mechanisms.
We introduce Glow, a reversible generative model which uses invertible 1×1 convolutions. It extends previous work on reversible generative models and simplifies the architecture. Our model can generate realistic high resolution images, supports efficie…
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 …
Our team of five neural networks, OpenAI Five, has started to defeat amateur human teams at Dota 2.
[Updated on 2018-10-28: Add Pointer Network and the link to my implementation of Transformer.]
[Updated on 2018-11-06: Add a link to the implementation of Transformer model.]
[Updated on 2018-11-18: Add Neural Turing Machines.]
[Updated on 2019-07-18:…