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<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" xml:lang="en"><generator uri="https://jekyllrb.com/" version="4.3.2">Jekyll</generator><link href="https://eklavya.sravjti.in/feed.xml" rel="self" type="application/atom+xml" /><link href="https://eklavya.sravjti.in/" rel="alternate" type="text/html" hreflang="en" /><updated>2024-06-11T14:51:28+00:00</updated><id>https://eklavya.sravjti.in/feed.xml</id><title type="html">blank</title><subtitle>A simple, whitespace theme for academics. Based on [*folio](https://github.com/bogoli/-folio) design. | ||
<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" xml:lang="en"><generator uri="https://jekyllrb.com/" version="4.3.2">Jekyll</generator><link href="https://eklavya.sravjti.in/feed.xml" rel="self" type="application/atom+xml" /><link href="https://eklavya.sravjti.in/" rel="alternate" type="text/html" hreflang="en" /><updated>2024-06-12T10:59:32+00:00</updated><id>https://eklavya.sravjti.in/feed.xml</id><title type="html">blank</title><subtitle>A simple, whitespace theme for academics. Based on [*folio](https://github.com/bogoli/-folio) design. | ||
</subtitle></feed> |
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<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN" "http://www.w3.org/TR/REC-html40/loose.dtd"> | ||
<html><body> | ||
<table> | ||
<thead> | ||
<tr> | ||
<th>Project Domains</th> | ||
<th>Mentors</th> | ||
<th>Project Difficulty</th> | ||
</tr> | ||
</thead> | ||
<tbody> | ||
<tr> | ||
<td>Reinforcement learning, OpenAI Gym, TenserFlow/ PyTorch, ML basics</td> | ||
<td>Aditya Vivekanand</td> | ||
<td>Medium to Hard</td> | ||
</tr> | ||
</tbody> | ||
</table> | ||
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<p><br></p> | ||
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<h3 id="project-description">Project Description</h3> | ||
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<p>This project involves building a solid theoretical foundation in RL concepts, implementing key algorithms like Dynamic Programming, Monte Carlo Methods and Policy Gradient Methods, and applying them to different tasks. | ||
By experimenting with advanced techniques such as Double DQN and Actor-Critic methods, you will optimize agent performance and analyze results. | ||
Comprehensive documentation and evaluation will enhance learning and provide insights for future applications, making this project a stepping stone to mastering RL.</p> | ||
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<h3 id="pre-requisites">Pre-requisites</h3> | ||
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<ul> | ||
<li> | ||
<p>Basic Python Programming -> <a href="https://www.youtube.com/watch?v=rfscVS0vtbw" rel="external nofollow noopener" target="_blank">Python One-Shot by FreeCodeCamp</a></p> | ||
</li> | ||
<li> | ||
<p>Conceptual understanding of Reinforcement Learning -> <a href="https://www.youtube.com/watch?v=JgvyzIkgxF0" rel="external nofollow noopener" target="_blank">Playlist on basics of RL</a></p> | ||
</li> | ||
</ul> | ||
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<blockquote> | ||
<p>It is recommended that candidates interested in this project go through the above resources. This will give you an advantage over others during interview for this project.</p> | ||
</blockquote> | ||
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<h3 id="references">References</h3> | ||
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<ul> | ||
<li><a href="https://www.gymlibrary.dev/content/basic_usage/" rel="external nofollow noopener" target="_blank">OpenAI Gym Document</a></li> | ||
<li><a href="https://www.google.co.in/books/edition/Reinforcement_Learning_second_edition/uWV0DwAAQBAJ?hl=en&gbpv=1&printsec=frontcover" rel="external nofollow noopener" target="_blank">Sutton and Barto</a></li> | ||
</ul> | ||
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<h3 id="mentor">Mentor</h3> | ||
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<p>Aditya Vivekanand - [email protected]</p> | ||
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<blockquote> | ||
<p>If you have any doubts regarding this project or any difficulty in understanding the pre-requisites videos you reach out to the mentor.</p> | ||
</blockquote> | ||
</body></html> |
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