Pablo Castro, Université de Montréal

Research

reinforcement learning representation learning behavioural metrics markov decision processes bisimulation metrics deep learning neural networks

Latest funding

Building robust representations for deep reinforcement learning
NSERC · 2024 · Principal investigator
$12,500
Building robust representations for deep reinforcement learning
NSERC · 2024 · Principal investigator
$31,000

All 2 grants and awards

Building robust representations for deep reinforcement learning

Principal investigatorNSERC2024Discovery Launch Supplement

Principal investigators: Castro, Pablo

Keywords: reinforcement learning; representation learning; behavioural metrics; markov decision processes; bisimulation metrics; deep learning; neural networks

$12,500

Building robust representations for deep reinforcement learning

Principal investigatorNSERC2024Discovery Grants Program - Individual

Principal investigators: Castro, Pablo

Keywords: reinforcement learning; representation learning; behavioural metrics; markov decision processes; bisimulation metrics; deep learning; neural networks

$31,000

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

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Mention their NSERC grant from 2024

Subject: Prospective PhD student: reinforcement learning Dear Professor Castro, 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 reinforcement learning 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 "Building robust representations for deep reinforcement learning" (2024), 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]