<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Book | Sustainability and Machine Learning Group</title><link>https://www.sml-group.cc/publication-type/book/</link><atom:link href="https://www.sml-group.cc/publication-type/book/index.xml" rel="self" type="application/rss+xml"/><description>Book</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Wed, 01 Jan 2020 00:00:00 +0000</lastBuildDate><image><url>https://www.sml-group.cc/media/icon_hu474ceb566706ceb24339604b4791fea6_26744_512x512_fill_lanczos_center_3.png</url><title>Book</title><link>https://www.sml-group.cc/publication-type/book/</link></image><item><title>Mathematics for Machine Learning</title><link>https://www.sml-group.cc/publication/deisenroth-2020/</link><pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate><guid>https://www.sml-group.cc/publication/deisenroth-2020/</guid><description/></item><item><title>A Survey on Policy Search for Robotics</title><link>https://www.sml-group.cc/publication/deisenroth-2013/</link><pubDate>Tue, 01 Jan 2013 00:00:00 +0000</pubDate><guid>https://www.sml-group.cc/publication/deisenroth-2013/</guid><description/></item><item><title>Proceedings of the 10th European Workshop on Reinforcement Learning</title><link>https://www.sml-group.cc/publication/deisenroth-2012-e/</link><pubDate>Sun, 01 Jan 2012 00:00:00 +0000</pubDate><guid>https://www.sml-group.cc/publication/deisenroth-2012-e/</guid><description/></item><item><title>Efficient Reinforcement Learning using Gaussian Processes</title><link>https://www.sml-group.cc/publication/deisenroth-2010-b/</link><pubDate>Fri, 01 Jan 2010 00:00:00 +0000</pubDate><guid>https://www.sml-group.cc/publication/deisenroth-2010-b/</guid><description/></item></channel></rss>