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Jean-BaptisteBouvier authored Aug 1, 2024
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<meta name="viewport" content="width=device-width, initial-scale=1">


<title>POLICEd RL: Learning Closed-Loop Robot Control Policies with Provable Satisfaction of Hard Constraints</title>
<title>POLICEd RL</title>
<link rel="icon" type="image/x-icon" href="static/images/favicon.ico">
<link href="https://fonts.googleapis.com/css?family=Google+Sans|Noto+Sans|Castoro"
rel="stylesheet">
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<div class="columns is-centered">
<div class="column has-text-centered">
<h1 class="title is-1 publication-title">POLICEd RL</h1>
<h2 class="title is-2">Learning Closed-Loop Robot Control Policies with Provable Satisfaction of Hard Constraints</h2>
<div class="is-size-5 publication-authors">
<!-- Paper authors -->
<div class="is-size-5 publication-authors"> <!-- Paper authors -->
<span class="author-block">
<a href="https://jean-baptistebouvier.github.io/" target="_blank">Jean-Baptiste Bouvier</a>,</span>
<span class="author-block">
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<a href="https://negarmehr.com/" target="_blank">Negar Mehr</a>
</span>
</div>


<h3 class="title is-3">Learning Closed-Loop Robot Control Policies with Provable Satisfaction of Hard Constraints</h3>
<div class="is-size-5 publication-authors">
<span class="author-block"><a href="https://iconlab.negarmehr.com/" target="_blank">ICON Lab</a> at UC Berkeley<br>
Robotics: Science and Systems (RSS) 2024</span>
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</span>
</div>
</div>
<h2 class="title is-2">Learning to Provably Satisfy High Relative Degree Constraints for Black-Box Systems</h2>
<h3 class="title is-3">Learning to Provably Satisfy High Relative Degree Constraints for Black-Box Systems</h3>
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<span class="author-block">2024 Conference on Decision and Control (CDC)</span>
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