We are now accepting applications for our second cohort of OpenAI Scholars, a program where we provide 6-10 stipends and mentorship to individuals from underrepresented groups to study deep learning full-time for 3 months and open-source a project. The first cohort of Scholars recently released their projects and presented at
We are now accepting applications for OpenAI Fellows and Interns for 2019. These programs provide an opportunity for people to work at OpenAI who are currently studying AI or wanting to transition from another speciality into AI.
Our first cohort of OpenAI Scholars has now completed the program. Over the past three months, we’ve seen how quickly experienced software developers can become machine learning practitioners. All eight Scholars produced an exciting final project and are going on to work or teach within machine learning.
We’ll be hosting
Our first class of OpenAI Scholars is underway, and you can now follow along as this group of experienced software developers becomes machine learning practitioners. We had over 700 applicants for the 8 OpenAI Scholars slots and reviewed each application on a standardized list of criteria for maximal fairness. We
The first run of our Retro Contest — exploring the development of algorithms that can generalize from previous experience — is now complete. Though many approaches were tried, top results all came from tuning or extending existing algorithms such as PPO and Rainbow. There’s a long way to go: top performance was
We’re now accepting applications for the next cohort of OpenAI Fellows, a program which offers a compensated 6-month apprenticeship in AI research at OpenAI. We designed this program for people who want to be an AI researcher, but do not have a formal background in the field. Applications for
We’re releasing the full version of Gym Retro, a platform for reinforcement learning research on games. This brings our publicly-released game count from around 70 Atari games and 30 Sega games to over 1,000 games across a variety of backing emulators. We’re also releasing the tool we use to
We’re launching a transfer learning contest that measures a reinforcement learning algorithm’s ability to generalize from previous experience. In typical RL research, algorithms are tested in the same environment where they were trained, which favors algorithms which are good at memorization and have many hyperparameters. Instead, our contest tests an
We’re providing 6-10 stipends and mentorship to individuals from underrepresented groups to study deep learning full-time for 3 months and open-source a project.
This is a remote program and is open to anyone with US work authorization located in US timezones (we’re happy to provide a desk in our
