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    <title>Chiyuan Wang</title>
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          <h1>Chiyuan Wang</h1>
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        <p class="tagline">PhD student, School of Computer Science, Peking University</p>
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          <ul>
            <li><a href="#about">About</a></li>
            <li><a href="#portrait">Photo</a></li>
            <li><a href="#info">Contact &amp; info</a></li>
            <li><a href="#papers">Papers</a></li>
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        <section id="about" class="intro">
          <h2>About</h2>
          <p>
            I am a Ph.D. student in the School of Computer Science at Peking University, affiliated with the Center on
            Frontiers of Computing Studies (CFCS). I work on multi-agent systems, quantitative macro, and AI tools for social
            science. I am currently supervised by Prof. Xiaotie Deng and co-advised by Prof. Bo Li and Prof. Yaodong Yang.
          </p>
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        <section id="info">
          <h2>Contact &amp; information</h2>
          <dl class="info-grid">
            <dt>Email</dt>
            <dd><a href="mailto:wang2021@stu.pku.edu.cn">wang2021@stu.pku.edu.cn</a></dd>
            <dt>GitHub</dt>
            <dd><a href="https://github.com/leafDancer" rel="me">github.com/leafDancer</a></dd>
            <dt>ORCID</dt>
            <dd><a href="https://orcid.org/0009-0007-5726-7151">0009-0007-5726-7151</a></dd>
            <dt>Affiliation</dt>
            <dd><a href="https://cs.pku.edu.cn/">School of Computer Science, Peking University</a></dd>
            <dt>Google Scholar</dt>
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        <section id="papers">
          <h2>Papers</h2>
          <div class="papers">
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            <article class="paper">
              <h3>Recurrent Structural Policy Gradient for Partially Observable Mean Field Games</h3>
              <p class="meta">
                Clarisse Wibault, Johannes Forkel, Sebastian Towers, Tiphaine Wibault, Juan Duque, George Whittle,
                <span class="coauthor-name" data-coauthor="Andreas Schaab">Andreas Schaab</span>,
                <span class="coauthor-name" data-coauthor="Yucheng Yang">Yucheng Yang</span>,
                <strong>Chiyuan Wang</strong>, Michael Osborne,
                <span class="coauthor-name" data-coauthor="Benjamin Moll">Benjamin Moll</span>, Jakob Foerster · 2026
              </p>
              <p class="links">
                <a href="https://arxiv.org/abs/2602.20141">arXiv</a>
                <span> · </span>
                <a href="https://github.com/CWibault/mfax">Code</a>
              </p>
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            <article class="paper">
              <h3>Structural Reinforcement Learning for Heterogeneous Agent Macroeconomics</h3>
              <p class="meta">
                <span class="coauthor-name" data-coauthor="Yucheng Yang">Yucheng Yang</span><sup>*</sup>,
                <strong>Chiyuan Wang<sup>*</sup></strong>,
                <span class="coauthor-name" data-coauthor="Andreas Schaab">Andreas Schaab</span>,
                <span class="coauthor-name" data-coauthor="Benjamin Moll">Benjamin Moll</span> · 2025
              </p>
              <p class="meta author-asterisk-note"><sup>*</sup> Equal contribution.</p>
              <p class="links"><a href="https://arxiv.org/abs/2512.18892">arXiv</a></p>
            </article>

            <article class="paper">
              <h3>Sample-Efficient Regret-Minimizing Double Oracle in Extensive-Form Games</h3>
              <p class="meta">
                <span class="coauthor-name" data-coauthor="Xiaohang Tang">Xiaohang Tang</span>,
                <strong>Chiyuan Wang</strong>,
                <span class="coauthor-name" data-coauthor="Chengdong Ma">Chengdong Ma</span>,
                <span class="coauthor-name" data-coauthor="Ilija Bogunovic">Ilija Bogunovic</span>,
                <span class="coauthor-name" data-coauthor="Stephen McAleer">Stephen McAleer</span>,
                <span class="coauthor-name" data-coauthor="Yaodong Yang">Yaodong Yang</span> · 2024
              </p>
              <p class="links">
                <a href="https://arxiv.org/abs/2411.00954">arXiv</a>
                <span> · </span>
                <a href="https://github.com/xiaohangt/RMDO">Code</a>
              </p>
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