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---
layout: page
title: Rethinking Bayesian Reinforcement Learning
sidebar: false
---
<img src="public/img/vis/AI1-compressed.gif" alt="Rethinking Bayesian Reinforcement Learning" loop>
<h2>Publications and Projects</h2>
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      <img src="public/img/projects/bayesianarena.png" alt="BayesianArena">
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      <h3 class="homeitem-title">BayesianArena</h3>
      <p>A problemset for uncertainty quantification and knowledge injection into reinforcement learning and active inference agents</p>
      <div class="homeitem-links">
        <a href="https://github.com/BayesianRL/BayesianArena.jl" target="_blank">🌐 GitHub</a><br>
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      <img src="public/img/projects/nonparametricvi.png" alt="NonparametricVI.jl">
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      <h3 class="homeitem-title">NonparametricVI.jl</h3>
      <p>A Nonparametric Variational Inference package for Julia language supporting Turing proabilistic programs.</p>
      <div class="homeitem-links">
        <a href="https://github.com/BayesianRL/NonparametricVI.jl" target="_blank">🌐 GitHub</a><br>
        <a href="https://bayesianrl.github.io/NonparametricVI.jl/" target="_blank">📔 Documentation</a>
        <!-- 🎥 <a href="https://www.youtube.com/playlist?list=PLpIquQ_DMJSFr3_SXHe3ZbiZInTFaXugb">Lectures on YouTube</a> -->
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<h2>Presentations and Courses</h2>

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      <img src="public/img/PML2024.jpeg" alt="">
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      <h3 class="homeitem-title">Probabilistic Machine Learning with Julia Course</h3>
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        <span>📆 2024 - 2025<span>, Kharazmi University</span></span>
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      <div class="homeitem-speaker">
        <span>Amirabbas Asadi</span>
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      <div class="homeitem-links">
        📔 <a href="https://github.com/BayesianRL/PML2024">Slides</a>
        🎥 <a href="https://www.youtube.com/playlist?list=PLpIquQ_DMJSFr3_SXHe3ZbiZInTFaXugb">Lectures on YouTube</a>
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    <p>An applied course on Probabilistic Machine Learning and Bayesian methods using Julia </p>
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      <img src="public/img/sut_pp.png" alt="">
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      <h3 class="homeitem-title">Probabilistic Programming for Machine Learning</h3>
      <div class="homeitem-date">
        <span>📆 9 Oct 2024<span>, Sharif University of Technology</span></span>
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      <div class="homeitem-speaker">
        <span>Amirabbas Asadi</span>
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      <div class="homeitem-links">
        📔 <a href="https://github.com/BayesianRL/SUT_Probabilistic_Programming_2024">Slides</a>, 🎥 <a href="https://www.aparat.com/v/byde90e">Video lecture</a>
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    <p>This presentation was a friendly introduction to Probabilistic Programming.
      We explored how modern inference methods and recent advances in Differentiable Programming can help us unlock
      the full potential of Bayesian Machine Learning.</p>
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<h2>About</h2>


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      <img src="public/img/amirabbas2.jpeg" alt="">
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      <h3>Amirabbas Asadi</h3>
      <p>Researcher in Probabilistic Machine Learning</p>
      <p>MSc Student in Applied Mathematics</p>
      <div class="homeitem-links">
        amir.asadi78@sharif.edu
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