<?xml version="1.0"?>
<oembed><version>1.0</version><provider_name>Reinforcement Learning for Self Driving Cars</provider_name><provider_url>https://mscvprojects.ri.cmu.edu/2020teamd</provider_url><title>Video Demonstrations - Reinforcement Learning for Self Driving Cars</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="Y77lhu9XKJ"&gt;&lt;a href="https://mscvprojects.ri.cmu.edu/2020teamd/video-demonstrations/"&gt;Video Demonstrations&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://mscvprojects.ri.cmu.edu/2020teamd/video-demonstrations/embed/#?secret=Y77lhu9XKJ" width="600" height="338" title="&#x201C;Video Demonstrations&#x201D; &#x2014; Reinforcement Learning for Self Driving Cars" data-secret="Y77lhu9XKJ" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script&gt;
/*! This file is auto-generated */
!function(d,l){"use strict";l.querySelector&amp;&amp;d.addEventListener&amp;&amp;"undefined"!=typeof URL&amp;&amp;(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&amp;&amp;!/[^a-zA-Z0-9]/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret="'+t.secret+'"]'),o=l.querySelectorAll('blockquote[data-secret="'+t.secret+'"]'),c=new RegExp("^https?:$","i"),i=0;i&lt;o.length;i++)o[i].style.display="none";for(i=0;i&lt;a.length;i++)s=a[i],e.source===s.contentWindow&amp;&amp;(s.removeAttribute("style"),"height"===t.message?(1e3&lt;(r=parseInt(t.value,10))?r=1e3:~~r&lt;200&amp;&amp;(r=200),s.height=r):"link"===t.message&amp;&amp;(r=new URL(s.getAttribute("src")),n=new URL(t.value),c.test(n.protocol))&amp;&amp;n.host===r.host&amp;&amp;l.activeElement===s&amp;&amp;(d.top.location.href=t.value))}},d.addEventListener("message",d.wp.receiveEmbedMessage,!1),l.addEventListener("DOMContentLoaded",function(){for(var e,t,s=l.querySelectorAll("iframe.wp-embedded-content"),r=0;r&lt;s.length;r++)(t=(e=s[r]).getAttribute("data-secret"))||(t=Math.random().toString(36).substring(2,12),e.src+="#?secret="+t,e.setAttribute("data-secret",t)),e.contentWindow.postMessage({message:"ready",secret:t},"*")},!1)))}(window,document);
//# sourceURL=https://mscvprojects.ri.cmu.edu/2020teamd/wp-includes/js/wp-embed.min.js
&lt;/script&gt;
</html><description>All of the following video demonstrations were done on the no crash benchmark (dense) on Town 2. We primarily compare the performance of the SAC finetuned agent to the DAgger based agent. Both these agents were trained on Town 1. Yellow lights : Deciding to stop or pass Our initial RL expert agent was trained &hellip; Continue reading ""</description></oembed>

<!--
Performance optimized by W3 Total Cache. Learn more: https://www.boldgrid.com/w3-total-cache/?utm_source=w3tc&utm_medium=footer_comment&utm_campaign=free_plugin


Served from: mscvprojects.ri.cmu.edu @ 2026-09-11 20:13:09 by W3 Total Cache
-->