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<!DOCTYPE html>
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Brendan Crowe
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<div class="tc-l pv4 pv6-l ph3 ph4-ns">
<h1 class="f2 f-subheadline-l fw2 white-90 mb0 lh-title">
Brendan Crowe
</h1>
<h2 class="fw1 f5 f3-l white-80 measure-wide-l center mt3">
Data Science | Machine Learning | Mathematics
</h2>
</div>
</div>
</header>
<main class="pb7" role="main">
<article class="cf ph3 ph5-l pv3 pv4-l f4 tc-l center measure-wide lh-copy mid-gray">
<p>A complete portfolio of all data science, machine learning, and related projects.</p>
</article>
<div class="pa3 pa4-ns w-100 w-70-ns center">
<h1 class="flex-none">
Recent Projects
</h1>
<section class="w-100 mw8">
<div class="relative w-100 mb4">
<article class="bb b--black-10">
<div class="db pv4 ph3 ph0-l no-underline dark-gray">
<div class="flex flex-column flex-row-ns">
<div class="pr3-ns mb4 mb0-ns w-100 w-40-ns">
<a href="https://brendanjcrowe.github.io/post/project-5/" class="db grow">
<img src="https://brendanjcrowe.github.io/images/mc_methods.png" class="img" alt="image from Novel research on Inverse Reinforcement Learning">
</a>
</div>
<div class="blah w-100 w-60-ns pl3-ns">
<h1 class="f3 fw1 athelas mt0 lh-title">
<a href="https://brendanjcrowe.github.io/post/project-5/" class="color-inherit dim link">
Novel research on Inverse Reinforcement Learning
</a>
</h1>
<div class="f6 f5-l lh-copy nested-copy-line-height nested-links">
Continuing as a post-graduate researcher, I am part of a group researching improvements to existing Inverse Reinforcement Learning (IRL) techniques. In particular our research strives to improve linear programming approaches to robust IRL. Our goals are:
Improve time complexity and accuracy bounds on robust IRL by constructing a convex set of rewards. Improve estimation of the experts policy using adjustments to monte carlo methods. Connect our work to BROIL, and show we can make it more scalable.
</div>
<a href="https://brendanjcrowe.github.io/post/project-5/" class="ba b--moon-gray bg-light-gray br2 color-inherit dib f7 hover-bg-moon-gray link mt2 ph2 pv1">read more</a>
</div>
</div>
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<a href="https://brendanjcrowe.github.io/post/project-2/" class="db grow">
<img src="https://brendanjcrowe.github.io/images/policy.png" class="img" alt="image from Robust Value Approximation">
</a>
</div>
<div class="blah w-100 w-60-ns pl3-ns">
<h1 class="f3 fw1 athelas mt0 lh-title">
<a href="https://brendanjcrowe.github.io/post/project-2/" class="color-inherit dim link">
Robust Value Approximation
</a>
</h1>
<div class="f6 f5-l lh-copy nested-copy-line-height nested-links">
This project has 3 main goals:
Combine Robust Inverse Reinforcement Learning (RIRL) with Approximate Linear Programming (ALP). Extend this concept to combine ALP and Bayesian Robust Optimization for Imitation Learning (BROIL). Use these methods to solve COVID-19 lockdown strategy as a control problem. We can title the overarching strategy Robust Value Approximation (RoVA). We first use Approximate Robust Linear Programming for Imitation Learning wherein we combine RIRL and ALP, which can be solved as a linear program.
</div>
<a href="https://brendanjcrowe.github.io/post/project-2/" class="ba b--moon-gray bg-light-gray br2 color-inherit dib f7 hover-bg-moon-gray link mt2 ph2 pv1">read more</a>
</div>
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</div>
</section>
<section class="w-100">
<h1 class="f3">More</h1>
<h2 class="f5 fw4 mb4 dib mr3">
<a href="https://brendanjcrowe.github.io/post/project-6/" class="link black dim">
Policy and Value Iteration
</a>
</h2>
<h2 class="f5 fw4 mb4 dib mr3">
<a href="https://brendanjcrowe.github.io/post/project-1/" class="link black dim">
Robust Probabilistic Imitation Learning
</a>
</h2>
<h2 class="f5 fw4 mb4 dib mr3">
<a href="https://brendanjcrowe.github.io/post/project-4/" class="link black dim">
Behavioral Cloning using Seq-2-seq models
</a>
</h2>
<h2 class="f5 fw4 mb4 dib mr3">
<a href="https://brendanjcrowe.github.io/post/project-3/" class="link black dim">
Sales volume prediction
</a>
</h2>
<a href="https://brendanjcrowe.github.io/post/" class="link db f6 pa2 br3 bg-mid-gray white dim w4 tc">All Projects</a>
</section>
</div>
</main>
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© Brendan Crowe 2021
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