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[do not merge] cdc-2019 #29

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64 changes: 54 additions & 10 deletions tutorial.html
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Expand Up @@ -333,25 +333,70 @@ <h3 class="fs-1 mb-1 fw-200">Sunday, December 10th, 2019 | Nice, France. <a targ
<tbody>
<tr>
<td>1</td>
<td>Means Field Models</td>
<td>Overview of micro-macro models for mixed traffic</td>
<td><a class="btn btn-outline-primary btn-xs" target="_blank" href="#">Download</a></td>
<td>Use of mean field equations to model the aggregate state of a traffic system actuated</td>
<td>TBD - <i>Presenter</i>: Maria Laura Delle Monache, Inria, France</td>
</tr>
<tr>
<td>2</td>
<td>Deep Reinforcement Learning (RL)</td>
<td>Instabilities and waves in microscopic and macroscopic traffic models</td>
<td><a class="btn btn-outline-primary btn-xs" target="_blank" href="#">Download</a></td>
<td>Techniques for applying scalable RL techniques to mixed-autonomy traffic</td>

<td>TBD - <i>Presenter</i>: Benjamin Seibold, Temple University</td>
</tr>
<tr>
<td>3</td>
<td>Verification of Deep Neural Networks (DNNs)</td>
<td>Mean-field approaches to traffic regulation via AVs</td>
<td><a class="btn btn-outline-primary btn-xs" target="_blank" href="#">Download</a></td>
<td>techniques for verifying the safety properties of DNNs using algorithms for satisfiability modulo convex optimization.</td>

<td>TBD - <i>Presenter</i>: Benedetto Piccoli, Rutgers University</td>
</tr>
<tr>
<td>4</td>
<td>Model-based processes for real-time cyber-physical systems testbeds</td>
<td><a class="btn btn-outline-primary btn-xs" target="_blank" href="#">Download</a></td>
<td>TBD - <i>Presenter</i>: Jonathan Sprinkle, University of Arizona</td>
</tr>
<tr>
<td>5</td>
<td>Experiments for control of traffic with AVs</td>
<td><a class="btn btn-outline-primary btn-xs" target="_blank" href="#">Download</a></td>
<td>TBD - <i>Presenter</i>: Daniel B. Work, Vanderbilt University</td>
</tr>
<tr>
<td>6</td>
<td>Overview of deep reinforcement learning</td>
<td><a class="btn btn-outline-primary btn-xs" target="_blank" href="#">Download</a></td>
<td>TBD - <i>Presenter</i>: Abdul Rahman Kreidieh, UC Berkeley</td>
</tr>
<tr>
<td>7</td>
<td>Flow: a framework for deep reinforcement learning in traffic microsimulations</td>
<td><a class="btn btn-outline-primary btn-xs" target="_blank" href="#">Download</a></td>
<td>TBD - <i>Presenter</i>: Yashar Zeiynali Farid, UC Berkeley</td>
</tr>
<tr>
<td>8</td>
<td>Decentralized Bottleneck Control</td>
<td><a class="btn btn-outline-primary btn-xs" target="_blank" href="#">Download</a></td>
<td>TBD - <i>Presenter</i>: Eugene Vinitsky, UC Berkeley</td>
</tr>
<tr>
<td>9</td>
<td>Hierarchical control of mixed autonomy agents</td>
<td><a class="btn btn-outline-primary btn-xs" target="_blank" href="#">Download</a></td>
<td>TBD - <i>Presenter</i>: Abdul Rahman Kreidieh, UC Berkeley</td>
</tr>
<tr>
<td>10</td>
<td>Multi-task traffic modeling</td>
<td><a class="btn btn-outline-primary btn-xs" target="_blank" href="#">Download</a></td>
<td>TBD - <i>Presenter</i>: Yashar Zeiynali Farid, UC Berkeley</td>
</tr>
<tr>
<td>11</td>
<td>Verification of Deep Neural Networks</td>
<td><a class="btn btn-outline-primary btn-xs" target="_blank" href="#">Download</a></td>
<td>TBD - <i>Presenter</i>: Manfred Morari, University of Pennsylvania</td>
</tr>

</tbody>
</table>
</div>
Expand All @@ -360,7 +405,6 @@ <h3 class="fs-1 mb-1 fw-200">Sunday, December 10th, 2019 | Nice, France. <a targ
<p class="lead color-1 font-1">
Please check this page again! New tutorials will be added in the near future. </p>
</div>

</div>
</div>

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