{"version":"1.0","provider_name":"Microsoft Research","provider_url":"https:\/\/www.microsoft.com\/en-us\/research","author_name":"Tu Ong","author_url":"https:\/\/www.microsoft.com\/en-us\/research\/people\/v-ongtu\/","title":"Reinforcement Learning Open Source Fest - Microsoft Research","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"qXaZWxHswD\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/academic-program\/rl-open-source-fest\/\">Reinforcement Learning Open Source Fest<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/academic-program\/rl-open-source-fest\/embed\/#?secret=qXaZWxHswD\" width=\"600\" height=\"338\" title=\"&#8220;Reinforcement Learning Open Source Fest&#8221; &#8212; Microsoft Research\" data-secret=\"qXaZWxHswD\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^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<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(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<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);\n\/\/# sourceURL=https:\/\/www.microsoft.com\/en-us\/research\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>\n","thumbnail_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/02\/RLOpenSourceFest_WebHeader_1400x788_2-3-20-scaled.jpg","thumbnail_width":2560,"thumbnail_height":1441,"description":"The Reinforcement Learning (RL) Open Source Fest is a global online program focused on introducing students to open source\u202freinforcement learning programs and software development\u202fwhile working alongside\u202fresearchers, data scientists, and engineers\u202fon the\u202fReal World Reinforcement Learning\u202fteam\u202fat Microsoft Research NYC. Students\u202fwill\u202fwork on a\u202ffour-month\u202fresearch programming project\u202fduring their break from university (May-August 2020). Accepted students will receive a\u202f$10,000 USD\u202fstipend."}