<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>A. Kayal | Learning And Signal Processing</title><link>https://ucl-lasp.github.io/author/a.-kayal/</link><atom:link href="https://ucl-lasp.github.io/author/a.-kayal/index.xml" rel="self" type="application/rss+xml"/><description>A. Kayal</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><image><url>https://ucl-lasp.github.io/media/icon_hu488c70cfa50b07216f285734af4abcd1_22080_512x512_fill_lanczos_center_3.png</url><title>A. Kayal</title><link>https://ucl-lasp.github.io/author/a.-kayal/</link></image><item><title>Aya Kayal</title><link>https://ucl-lasp.github.io/author/aya-kayal/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ucl-lasp.github.io/author/aya-kayal/</guid><description>&lt;p>I earned by BE in Computer &amp;amp; Communication Engineering from the American University of Beirut (AUB) in 2020 and my MSc in Human Robotics from Imperial College London in 2021. I have also completed a research internship within the Systems Group at ETH Zurich in Summer 2019. From January 2022, I joined the LASP Group as a Phd student. My current research interest is the design of reinforcement learning algorithms in such a way that the energy costs remain reasonable while retaining high performance. My goal is to develop novel data-efficient and generalisable learning strategies.&lt;/p></description></item></channel></rss>