On March 3rd, we hosted our first hackathon with 100 members of the artificial intelligence community.

We’ve developed a simple meta-learning algorithm called Reptile which works by repeatedly sampling a task, performing stochastic gradient...

We’re providing 6–10 stipends and mentorship to individuals from underrepresented groups to study deep learning full-time for 3 months an...

We’re releasing eight simulated robotics environments and a Baselines implementation of Hindsight Experience Replay, all developed for ou...

Come to OpenAI’s office in San Francisco’s Mission District for talks and a hackathon on Saturday, March 3rd.

We’ve co-authored a paper that forecasts how malicious actors could misuse AI technology, and potential ways we can prevent and mitigate ...

We’re excited to welcome new donors to OpenAI.

We’ve designed a method that encourages AIs to teach each other with examples that also make sense to humans. Our approach automatically ...

We’ve built a system for automatically figuring out which object is meant by a word by having a neural network decide if the word belongs...

We’re releasing a new batch of seven unsolved problems which have come up in the course of our research at OpenAI.

We’re releasing highly-optimized GPU kernels for an underexplored class of neural network architectures: networks with block-sparse weigh...

We’ve developed a hierarchical reinforcement learning algorithm that learns high-level actions useful for solving a range of tasks, allow...

Our latest robotics techniques allow robot controllers, trained entirely in simulation and deployed on physical robots, to react to unpla...

We show that for the task of simulated robot wrestling, a meta-learning agent can learn to quickly defeat a stronger non-meta-learning ag...