OpenAI Generative Models Research Overview
OpenAI outlines the role of generative models in achieving machine understanding of the world and introduces five research projects improving GANs, VAEs, and reinforcement learning.
OpenAI Team Update May 2016
OpenAI announced the addition of several new full-time employees and interns with expertise in deep learning, competitive programming, AI safety, and infrastructure engineering.
Adversarial Training Methods for Semi-Supervised Text Classification
OpenAI researchers developed a method to apply adversarial and virtual adversarial training to text by perturbing word embeddings in a recurrent neural network, achieving state-of-the-art results in semi-supervised text classification.
OpenAI Gym Beta Release
OpenAI has released the public beta of OpenAI Gym, a toolkit designed to standardize reinforcement learning environments and accelerate algorithm development and comparison.
OpenAI Team Updates: Pieter Abbeel and Shivon Zilis Join
OpenAI announced the addition of Pieter Abbeel as a full-time team member and Shivon Zilis as an official advisor in April 2016.
OpenAI Team++ Update
OpenAI announced the addition of several high-profile machine learning researchers and interns, focusing their current efforts on unsupervised learning and reinforcement learning.
Weight Normalization: Accelerating Deep Neural Network Training
OpenAI researchers introduced weight normalization, a reparameterization technique that decouples weight vector length from direction to accelerate stochastic gradient descent convergence without the minibatch dependencies of batch normalization.
Introducing OpenAI: Non-Profit AI Research Initiative (December 2015)
On December 11, 2015, OpenAI announced its launch as a non-profit AI research organization dedicated to advancing digital intelligence for broad human benefit without financial constraints.