Browse press releases
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- OpenAIMachine Learning UnconferenceCompanies: OpenAIThe latest information about the Unconference is now available at the Unconference wiki, which will be periodically updated with more information for attendees.
- OpenAIConcrete AI safety problemsCompanies: OpenAIWe (along with researchers from Berkeley and Stanford) are co-authors on today’s paper led by Google Brain researchers, Concrete Problems in AI Safety. The paper explores many research problems around ensuring that modern machine learning systems operate as intended.
- OpenAIGenerative modelsCompanies: OpenAIThis 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.
- OpenAIAdversarial training methods for semi-supervised text classificationCompanies: OpenAIOpenAI Abstract Adversarial training provides a means of regularizing supervised learning algorithms while virtual adversarial training is able to extend supervised learning algorithms to the semi-supervised setting. However, both methods require making small perturbations to numerous entries of the input vector, which is inappropriate for sparse high-dimensional inputs such as one-hot word representations. We extend
- OpenAIOpenAI Gym BetaCompanies: OpenAIWe’re releasing the public beta of OpenAI Gym, a toolkit for developing and comparing reinforcement learning (RL) algorithms. It consists of a growing suite of environments (from simulated robots to Atari games), and a site for comparing and reproducing results.