Engineering Insights

Node.js 9.9.0 (Current)

Variance reduction for policy gradient with action-dependent factorized baselines

5 Top Reasons Why and How to Use GraphQL | Prisma

Learn five reasons to use GraphQL and how it can improve flexibility, developer experience, and API efficiency.

Improving GANs using optimal transport

Report from the OpenAI hackathon

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

On first-order meta-learning algorithms

Node.js 9.8.0 (Current)

Reptile: A scalable meta-learning algorithm

We’ve developed a simple meta-learning algorithm called Reptile which works by repeatedly sampling a task, performing stochastic gradient descent on it, and updating the initial parameters towards the final parameters learned on that task. Reptile is the application of the Shortest Descent algorithm to the meta-learning setting, and is mathematically similar to first-order MAML (which is a version of the well-known MAML algorithm) that only needs black-box access to an optimizer such as SGD or A