Engineering Insights

Sim-to-real transfer of robotic control with dynamics randomization

Asymmetric actor critic for image-based robot learning

Domain randomization and generative models for robotic grasping

Node.js 8.7.0 (Current)

Meta-learning for wrestling

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

Competitive self-play

We’ve found that self-play allows simulated AIs to discover physical skills like tackling, ducking, faking, kicking, catching, and diving for the ball, without explicitly designing an environment with these skills in mind. Self-play ensures that the environment is always the right difficulty for an AI to improve. Taken alongside our Dota 2 self-play results, we have increasing confidence that self-play will be a core part of powerful AI systems in the future.

Next.js 4: React 16 and styled-jsx 2

We are happy to introduce , which features support for React 16 and introduces a major upgrade for the default styling engine styled-jsx with support for .Next.js 4dynamic styles Read more

Node.js 6.11.4 (LTS)