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MHashemzadeh authored Oct 10, 2023
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<title>Maryam Hashemzadeh</title>
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<h3 class="display-4" style="text-align: center;"><span style="font-weight: bold;">Maryam</span> Hashemzadeh</h3>
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<!-- <p>I am a research associate at Mila working on LLM and RL.</p> -->
<p>
<span style="font-weight: bold;">Research:</span>
I'm passionate about leveraging learning-based systems to address complex challenges. Currently, my research focuses on Large Language Models (LLMs) and their application in interactive decision-making, akin to Reinforcement Learning (RL) agents, while emphasizing the prevention of hallucinations. Additionally, I'm exploring how LLMs can enhance generalization in Lifelong learning. </p>
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<span style="font-weight: bold;">Bio:</span>
I'm a research associate at <a href="https://mila.quebec/en/" target="_blank">Mila</a> supervised by <a href="http://sarathchandar.in/" target="_blank">Sarath Chandar</a> with close collaboration with <a href="https://www.microsoft.com/en-us/research/people/macote/" target="_blank">Marc-Alexandre Côté</a>.
I hold an MSc from the University of Alberta, where I conducted research with <a href="http://webdocs.cs.ualberta.ca/~whitem/" target="_blank">Martha White</a> and <a href="http://webdocs.cs.ualberta.ca/~alona/" target="_blank">Alona Fyshe</a>, specializing in Offline Reinforcement Learning.
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<p>For any inquiries, feel free to reach out to me via mail!</p>
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<a href="mailto:[email protected]" style="margin-right: 15px"><i class="far fa-envelope-open fa-lg"></i> Mail</a>
<a href="https://twitter.com/MaryamHashemz" target="_blank" style="margin-right: 15px"><i class="fab fa-twitter fa-lg"></i> Twitter</a>
<a href="https://scholar.google.com/citations?user=3h6myHkAAAAJ&hl=en" target="_blank" style="margin-right: 15px"><i class="fa-solid fa-book"></i> Scholar</a>
<a href="https://www.linkedin.com/in/maryam-hashemzadeh-b76a7155" target="_blank" style="margin-right: 15px"><i class="fab fa-linkedin fa-lg"></i> LinkedIn</a>
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<h4>Publications</h4>
<div style="margin-bottom: 3em;"> <div class="row"><div class="col-sm-3"></div><div class="col-sm-9"><b>Offline-Online Reinforcement Learning: Extending Batch and Online RL</b> <br>Maryam Hashemzadeh, Wesley Chung, Martha White <br><span style="font-style: italic;">-</span>, 2021 <br><a href="-" target="_blank">Paper</a> /<button class="btn btn-link" type="button" data-toggle="collapse" data-target="#collapsehashemzadeh2021offline" aria-expanded="false" aria-controls="collapseExample" style="margin-left: -6px; margin-top: -2px;">Expand bibtex</button><div class="collapse" id="collapsehashemzadeh2021offline"><div class="card card-body"><pre><code>@InProceedings{hashemzadeh2021offline,
author = {Maryam Hashemzadeh and Wesley Chung and Martha White},
title = {Offline-Online Reinforcement Learning: Extending Batch and Online RL},
booktitle = {-},
year = {2021},
}</pre></code></div></div> </div> </div> </div><div style="margin-bottom: 3em;"> <div class="row"><div class="col-sm-3"></div><div class="col-sm-9"><b>From Language to Language-ish: How Brain-Like is an LSTM's Representation of Nonsensical Language Stimuli?</b> <br>Maryam Hashemzadeh, Greta Kaufeld, Martha White, Andrea Martin, Alona Fyshe <br><span style="font-style: italic;">EMNLP</span>, 2020 <br><a href="https://arxiv.org/pdf/2010.07435.pdf" target="_blank">Paper</a> /<button class="btn btn-link" type="button" data-toggle="collapse" data-target="#collapsehashemzadeh2020language" aria-expanded="false" aria-controls="collapseExample" style="margin-left: -6px; margin-top: -2px;">Expand bibtex</button><div class="collapse" id="collapsehashemzadeh2020language"><div class="card card-body"><pre><code>@InProceedings{hashemzadeh2020language,
author = {Maryam Hashemzadeh and Greta Kaufeld and Martha White and Andrea Martin and Alona Fyshe},
title = {From Language to Language-ish: How Brain-Like is an LSTM's Representation of Nonsensical Language Stimuli?},
booktitle = {EMNLP},
year = {2020},
}</pre></code></div></div> </div> </div> </div><div style="margin-bottom: 3em;"> <div class="row"><div class="col-sm-3"></div><div class="col-sm-9"><b>Value signals guide abstraction during learning</b> <br>Aurelio Cortese, Asuka Yamamoto, Maryam Hashemzadeh, Pradyumna Sepulveda, Mitsuo Kawato, Benedetto De Martino <br><span style="font-style: italic;">Elife</span>, 2021 <br><a href="https://elifesciences.org/articles/68943.pdf" target="_blank">Paper</a> /<button class="btn btn-link" type="button" data-toggle="collapse" data-target="#collapsecortese2021value" aria-expanded="false" aria-controls="collapseExample" style="margin-left: -6px; margin-top: -2px;">Expand bibtex</button><div class="collapse" id="collapsecortese2021value"><div class="card card-body"><pre><code>@InProceedings{cortese2021value,
author = {Aurelio Cortese and Asuka Yamamoto and Maryam Hashemzadeh and Pradyumna Sepulveda and Mitsuo Kawato and Benedetto De Martino},
title = {Value signals guide abstraction during learning},
booktitle = {Elife},
year = {2021},
}</pre></code></div></div> </div> </div> </div><div style="margin-bottom: 3em;"> <div class="row"><div class="col-sm-3"></div><div class="col-sm-9"><b>Clustering subspace generalization to obtain faster reinforcement learning</b> <br>Maryam Hashemzadeh, Reshad Hosseini, Majid Ahmadabadi <br><span style="font-style: italic;">Evolving Systems, Springer</span>, 2020 <br><a href="https://link.springer.com/article/10.1007/s12530-019-09290-9" target="_blank">Paper</a> /<button class="btn btn-link" type="button" data-toggle="collapse" data-target="#collapsehashemzadeh2020clustering" aria-expanded="false" aria-controls="collapseExample" style="margin-left: -6px; margin-top: -2px;">Expand bibtex</button><div class="collapse" id="collapsehashemzadeh2020clustering"><div class="card card-body"><pre><code>@InProceedings{hashemzadeh2020clustering,
author = {Maryam Hashemzadeh and Reshad Hosseini and Majid Ahmadabadi},
title = {Clustering subspace generalization to obtain faster reinforcement learning},
booktitle = {Evolving Systems, Springer},
year = {2020},
}</pre></code></div></div> </div> </div> </div><div style="margin-bottom: 3em;"> <div class="row"><div class="col-sm-3"></div><div class="col-sm-9"><b>Exploiting generalization in the subspaces for faster model-based reinforcement learning</b> <br>Maryam Hashemzadeh, Reshad Hosseini, Majid Ahmadabadi <br><span style="font-style: italic;">IEEE transactions on neural networks and learning systems</span>, 2018 <br><a href="https://arxiv.org/pdf/1710.08012.pdf" target="_blank">Paper</a> /<button class="btn btn-link" type="button" data-toggle="collapse" data-target="#collapsehashemzadeh2018exploiting" aria-expanded="false" aria-controls="collapseExample" style="margin-left: -6px; margin-top: -2px;">Expand bibtex</button><div class="collapse" id="collapsehashemzadeh2018exploiting"><div class="card card-body"><pre><code>@InProceedings{hashemzadeh2018exploiting,
author = {Maryam Hashemzadeh and Reshad Hosseini and Majid Ahmadabadi},
title = {Exploiting generalization in the subspaces for faster model-based reinforcement learning},
booktitle = {IEEE transactions on neural networks and learning systems},
year = {2018},
}</pre></code></div></div> </div> </div> </div>
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