<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Machine Learning on Welcome</title><link>https://yujia21.github.io/tags/machine-learning/</link><description>Recent content in Machine Learning on Welcome</description><generator>Hugo</generator><language>en-us</language><copyright>&lt;a href="https://creativecommons.org/licenses/by-nc/4.0/" target="_blank" rel="noopener"&gt;CC BY-NC 4.0&lt;/a&gt;</copyright><lastBuildDate>Wed, 20 May 2020 00:00:00 +0000</lastBuildDate><atom:link href="https://yujia21.github.io/tags/machine-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>Learning to play Can't Stop with a Deep Q Network</title><link>https://yujia21.github.io/portfolio/2020-05-20-cant-stop/</link><pubDate>Wed, 20 May 2020 00:00:00 +0000</pubDate><guid>https://yujia21.github.io/portfolio/2020-05-20-cant-stop/</guid><description>&lt;p&gt;What with the COVID19 related confinement, I have been playing a lot of board games on &lt;a href="https://boardgamearena.com/"&gt;board game arena&lt;/a&gt; with friends, colleagues, you name it. When you first create an account, the site takes you through the tutorial of a simple probabilistic risk vs gain evaluation game called &lt;a href="https://en.wikipedia.org/wiki/Can%27t_Stop_%28board_game%29"&gt;Can&amp;rsquo;t Stop&lt;/a&gt;. Having a little more time on my hands during weekends than usual, I decided to train a reinforcement learning agent to learn to play this game, for which the full code can be found &lt;a href="https://github.com/yujia21/board_games_rl"&gt;here&lt;/a&gt;.&lt;/p&gt;</description></item></channel></rss>