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...
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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...
We are releasing Roboschool: open-source software for robot simulation, integrated with OpenAI Gym....
We’ve developed an unsupervised system which learns an excellent representation of sentiment, despite being trained only to predict the next...
We’ve created the world’s first Spam-detecting AI trained entirely in simulation and deployed on a physical robot....
We’ve discovered that evolution strategies (ES), an optimization technique that’s been known for decades, rivals the performance of standard...
We’re excited to support today’s launch of Distill, a new kind of journal aimed at excellent communication of machine learning results (nove...
In this post we’ll outline new OpenAI research in which agents develop their own language....
Adversarial examples are inputs to machine learning models that an attacker has intentionally designed to cause the model to make a mistake;...
The OpenAI team is now 45 people. Together, we’re pushing the frontier of AI capabilities—whether by validating novel ideas, creating new so...
Reinforcement learning algorithms can break in surprising, counterintuitive ways. In this post we’ll explore one failure mode, which is wher...
We’re releasing Universe, a software platform for measuring and training an AI’s general intelligence across the world’s supply of games, we...