<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ai on Michele Righi</title><link>https://mikyll.github.io/tags/ai/</link><description>Recent content in Ai on Michele Righi</description><generator>Hugo</generator><language>en</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>Sun, 08 May 2022 23:59:59 +0200</lastBuildDate><atom:link href="https://mikyll.github.io/tags/ai/index.xml" rel="self" type="application/rss+xml"/><item><title>Gionnino9000</title><link>https://mikyll.github.io/projects/gionnino-9000/</link><pubDate>Fri, 21 Aug 2026 19:15:00 +0200</pubDate><guid>https://mikyll.github.io/projects/gionnino-9000/</guid><description>&lt;h2 id="about-the-project"&gt;About the Project&lt;/h2&gt;
&lt;p&gt;&lt;em&gt;&lt;strong&gt;Gionnino9000&lt;/strong&gt;&lt;/em&gt; is the team I took part in the &lt;strong&gt;Tablut Challenge 2022&lt;/strong&gt; with, a competition organized for the &lt;a href="https://www.unibo.it/it/didattica/insegnamenti/insegnamento/2021/468002"&gt;Fundamentals of Artificial Intelligence M&lt;/a&gt; course at Alma Mater Studiorum, University of Bologna. Our agent — an AI player capable of playing the board game &lt;em&gt;Tablut&lt;/em&gt; — is called &lt;strong&gt;Tavoletta&lt;/strong&gt;.&lt;/p&gt;
&lt;p&gt;The rules are the interesting part of a competition like this one: your agent connects to a server running the game engine, and it has &lt;strong&gt;one minute per move&lt;/strong&gt;. Not one minute of thinking on your gaming rig, either: everything runs on a virtual machine with 4 CPUs, 8 GB of RAM, no GPU and no internet connection. Whatever your agent is going to do, it has to do it there.&lt;/p&gt;</description></item></channel></rss>