Solving Rubik’s Cube with a Robot Hand
We've trained a pair of neural networks to solve the Rubik’s Cube with a human-like robot hand.
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
Infrastructure for Deep Learning
Deep learning is an empirical science, and the quality of a group's infrastructure is a multiplier on progress. Fortunately, today's open-source ecosystem makes it possible for anyone to build great deep learning infrastructure.