We've trained a human-like robot hand to manipulate physical objects with unprecedented dexterity.
Ingredients for Robotics Research
We're releasing eight simulated robotics environments and a Baselines implementation of Hindsight Experience Replay, all developed for our research over the past year. We've used these environments to train models which work on physical robots.
Generalizing from Simulation
Faster Physics in Python
Robots that Learn
We've created a robotics system, trained entirely in simulation and deployed on a physical robot, which can learn a new task after seeing it done once.
Spam Detection in the Physical World
This post describes four projects that share a common theme of enhancing or using generative models, a branch of unsupervised learning techniques in machine learning.