Josh Tobin
Josh Tobin is a machine learning researcher and engineer who currently serves as a Member of the Technical Staff at OpenAI, where he leads research teams focused on AI agents. He completed his PhD in Computer Science at UC Berkeley under Pieter Abbeel and was previously a research scientist at OpenAI, where he pioneered domain randomization, a technique for transferring deep neural networks trained in simulation to the real world for robotic control. He is also a co-founder of the ML infrastructure companies Gantry and Recursive, and co-organizer of the Full Stack Deep Learning training program.
“Josh Tobin (domain randomization)... These are the intellectual ancestors of the approach.”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.