OpenAI Fellows Fall 2018: Final projects

Our second class of OpenAI Fellows has wrapped up, with each Fellow going from a machine learning beginner to core OpenAI contributor in the course of a 6-month apprenticeship. We are currently reviewing applications on a rolling basis for our next round of OpenAI Fellows Summer 2019.

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!

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(opens in a new window) 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(opens in a new window), and tutorials that will help you become a skilled practitioner in RL.