Ashique Mahmood, University of Alberta

Research

real-time reinforcement learning robot learning

Latest funding

Scalable Reinforcement Learning Methods for Learning in Real-Time with Robots
NSERC · 2021 · Principal investigator
$12,500
Scalable Reinforcement Learning Methods for Learning in Real-Time with Robots
NSERC · 2021 · Principal investigator
$96,000

All 2 grants and awards

Scalable Reinforcement Learning Methods for Learning in Real-Time with Robots

Principal investigatorNSERC2021Discovery Launch Supplement

Principal investigators: Mahmood, Ashique

$12,500

Scalable Reinforcement Learning Methods for Learning in Real-Time with Robots

Principal investigatorNSERC2021Discovery Grants Program - Individual

Principal investigators: Mahmood, Ashique

Keywords: robot learning; reinforcement learning; real-time

$96,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Write to this professor

A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.

Applying for

Mention their NSERC grant from 2021

Subject: Prospective PhD student: real-time Dear Professor Mahmood, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. Your research on real-time connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Scalable Reinforcement Learning Methods for Learning in Real-Time with Robots" (2021), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]