Our first cohort of OpenAI Fellows has concluded, with each Fellow going from a machine learning beginner to core OpenAI contributor in the course of a 6-month apprenticeship.
During this time, we’ve seen how expertise in other scientific fields like theoretical physics and bioengineering can yield insights to push AI research forward. All 6 Fellows have authored or contributed to papers and completed projects investigating a novel research idea while embedded in an OpenAI research team.
Research projects from our next class of Fellows are underway and we are in the process of selecting our next cohort(opens in a new window). We’re also excited to welcome a number of our Fellows to OpenAI as full-time members of our technical staff.
We’d like to congratulate our Summer 2018 Fellows on their outstanding work and thank them for their contributions to OpenAI. We are excited to see what research they publish next!
As part of our effort to educate and attract 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(opens in a new window).” Spinning up consists of crystal-clear examples of RL code, educational exercises, documentation(opens in a new window), and tutorials that will help you become a skilled practitioner in RL.
Applications for our 2019 Winter Fellows Cohort have closed—please stay tuned for our next call for applications later in 2019.