From 247d442d6c3c4585a31194eaa91c5ece6615a1fb Mon Sep 17 00:00:00 2001
From: Floris den Hengst <florisdenhengst@gmail.com>
Date: Tue, 21 May 2024 14:49:16 +0200
Subject: [PATCH] rebuilding site Tue May 21 14:49:16 CEST 2024

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 posts/rl-for-pers-survey/index.html | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/posts/rl-for-pers-survey/index.html b/posts/rl-for-pers-survey/index.html
index c1796f1..abd1963 100644
--- a/posts/rl-for-pers-survey/index.html
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@@ -41,6 +41,8 @@ <h2 class="date">2020/04/09</h2>
     <p><em>Update 2020-06-27</em>: this paper was presented as a `poster&rsquo;(video) at the <a href="https://sites.google.com/view/RL4RealLife">RL for Real Life virtual
 Conference</a>. Read more
 <a href="/posts/rl-at-workshop/">here</a>.</p>
+<iframe src="https://archive.org/embed/rlfor-real-life-2020" width="640" height="480"
+frameborder="0" webkitallowfullscreen="true" mozallowfullscreen="true" allowfullscreen></iframe>
 <p>Reinforcement learning (RL) is becoming an increasingly popular tool to tackle hairy problems
 using data. A nice example of such a hairy problem is <em>personalization</em>. Personalization
 refers to a task central to many applications of data science and machine learning: to change a