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

We’re excited to welcome new donors to OpenAI.

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

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...

We’ve found that self-play allows simulated AIs to discover physical skills like tackling, ducking, faking, kicking, catching, and diving...

We’re releasing an algorithm which accounts for the fact that other agents are learning too, and discovers self-interested yet collaborat...

We’re releasing two new OpenAI Baselines implementations: ACKTR and A2C. A2C is a synchronous, deterministic variant of Asynchronous Adva...

Our Dota 2 result shows that self-play can catapult the performance of machine learning systems from far below human level to superhuman,...

We’ve created a bot which beats the world’s top professionals at 1v1 matches of Dota 2 under standard tournament rules. The bot learned t...