John Schulman

Welcome to my stodgy academic homepage!

I'm a research scientist at OpenAI, where I work on reinforcement learning (RL), especially related to transfer learning and meta-learning. I lead the Games Team, where we (mostly) use games as a testbed for reinforcement learning, and we've developed the Gym Retro dataset based on classic video games.

Previously, I received my PhD in Computer Science from UC Berkeley, where I had the good fortune of being advised by Pieter Abbeel. Prior to my recent work in RL, I spent some time working on robotics, enabling robots to tie knots and stitches and plan movement using trajectory optimization.







Sometimes people ask for slides or videos of my presentations, so I'll keep some recent links here.

Theme from here and here.