【微软2022】强化学习全球开源节挑战项目，报名截止 2022.4.4，申请成功奖励1万美金。

来源：微软

编辑：DeepRLHub

The Reinforcement Learning (RL) Open Source Fest is a global online program focused on introducing students to open-source reinforcement learning programs and software development while working alongside researchers, data scientists, and engineers on the Real World Reinforcement Learning team at Microsoft Research NYC. Students will work on a four-month research programming project for either a Summer (May-August 2022) or Fall session (September – December 2022). Accepted students will receive a $10,000 USD stipend. Selected students will receive their stipend payment at the beginning of their session. Microsoft sends the payment directly to a student’s academic institution, which then disperses funds according to the institution’s guidelines.

Our goal is to bring together a diverse group of students from around the world to collectively solve open-source reinforcement learning problems and advance the state-of-the-art research and development alongside the RL community while providing open-source code written and released to benefit all.

At the end of the program, students will present each of their projects to the Microsoft Research Real World Reinforcement Learning team online.

Open-source projects 

Vowpal Wabbit (VW) is an open-source machine learning library created by John Langford and developed by Microsoft Research with the help of many contributors. It is a fast, flexible, online, and active learning solution that empowers people to solve complex interactive machine learning problems, with a large focus on contextual bandits and reinforcement learning. It is a vehicle for both research prototyping and driving bleeding edge algorithms to production. RL OS Fest is all about open-source projects in the Vowpal Wabbit ecosystem.

项目列表：

https://vowpalwabbit.org/rlos/2022/projects

Eligibility

To be eligible for the program, students must be enrolled in or accepted into an accredited institution including colleges, universities, Master programs, PhD programs, and undergraduate programs.

Student responsibilities during the program

• Submit quality work: code compiles, has unit tests and documentation, and passes code review

• Regularly communicate work completed, what you intend to do next, and blockers

• Re-evaluate project tasks if you’re significantly ahead or behind schedule

• Regular check-ins with your mentor/collaborator

• Listen and respond to feedback

• Pro-active learning

Program Timeline

*The upcoming program dates are subject to change, and will be finalized and updated here by March 1, 2022

March 1, 2022 | Application period opens
April 4, 2022 | Application period closes

April 25, 2022 | Selected applicants notified
May 9, 2022| Summer projects begin
August 15, 2022 | Summer project presentations

September 12, 2022| Fall projects begin
December 2, 2022 | Fall project presentations

更多详情查看微软官网

https://www.microsoft.com/en-us/research/academic-program/rl-open-source-fest/