Muhammad Ammar Abid from Pakistan became the first individual ever from the country to take part in the RLOS 2021 (Reinforcement Learning Open Source 2021) Fest organized by Microsoft from April 2021 to August 2021.
He was one of 10 individuals selected from around the world to participate in the RLOS Summer Program hosted by Microsoft Research. Ammar will be receiving 10,000 USD stipend aside from the four month mentorship from one of the senior software engineers in Microsoft.
The RLOS Fest is a global online program which focuses on introducing students to open source reinforcement learning and software development. The students selected form the program work with the researchers, engineers, and data scientists on the Real World Reinforcement Learning team at Microsoft Research NYC.
The goal of the program is to bring together diverse group of students from around the globe to collectively solve open source reinforcement learning problems advance the state-of-the-art research.
Abid’s summer project was to integrate Tensorboard and Tensorwatch Visualization tools in the open source machine learning tool vowpal Wabbit managed by Microsoft Research. Vowpal Wabbit (VW) 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.