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We’re releasing an experimental metalearning approach called Evolved Policy Gradients, a method that evolves the loss function of learning a...
We’re launching a transfer learning contest that measures a reinforcement learning algorithm’s ability to generalize from previous experienc...
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 de...
We’re providing 6–10 stipends and mentorship to individuals from underrepresented groups to study deep learning full-time for 3 months and o...
We’re releasing eight simulated robotics environments and a Baselines implementation of Hindsight Experience Replay, all developed for our r...
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 the...
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 sel...
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 to...
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 weights....