During this time, we’ve seen how expertise in other scientific fields like classical music, statistics, and mathematics can yield insights to push AI research forward. All 6 Fellows have completed projects investigating a novel research idea while embedded in an OpenAI research team.
We’re also excited to welcome all 6 of our Fall Fellows to OpenAI as full-time members of our technical staff!
Mentor: Alec Radford
Social links for Christine Payne
Team: Reinforcement learning
Mentor: John Schulman
Social links for Jacob Hilton
Mentor: Igor Mordatch
Social links for Todor Markov
Mentor: Ilya Sutskever
Social links for Mark Chen
Mentor: Matthias Plappert
Social links for Lei Zhang
Mentor: Scott Gray
Social links for Mikhail Pavlov
We’d like to congratulate our Fall 2018 Fellows on their outstanding work and thank them for their contributions to OpenAI. We are excited to see their research continue! If you want to go from a beginner to producing world class ML contributions, consider applying for our next round of OpenAI Fellows, starting July 2019. We are currently accepting applications and reviewing them on a rolling basis, so apply early!
As part of our effort to educate more people like our class of Fellows, we recently open sourced part of their introductory curriculum. You can start your ML education today by completing our tutorial, “Spinning up in Deep RL.” Spinning up in Deep RL consists of examples of RL code, educational exercises, documentation, and tutorials that will help you become a skilled practitioner in RL.