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<html><table border=“0”> <tr > <td width=“130” style=“border-bottom: 1px solid lightgray;”>Name:</td> <td> </td> <td><font color=“blue”>SpelunkBots</font></td> </tr>
<tr> <td style=“border-bottom: 1px solid lightgray;”>You will learn:</td> <td> </td> <td>C++, <a href=“http://t2thompson.com/projects/spelunkbots/”>SeplunkBots</a>, SuperMario-like Game AI</td> </tr> <tr> <td style=“border-bottom: 1px solid lightgray;”>Difficulty:</td> <td> </td> <td><font color=“orange”>medium</font></td> </tr> <tr> <td style=“border-bottom: 1px solid lightgray;”>Excitement:</td> <td> </td> <td><font color=“blue”>Use knowledge from Super-Mario Game AI accumulated through the last years and get it on the next level1</font></td> </tr> <tr> <td valign=“top” style=“border-bottom: 1px solid lightgray;”>Description:</td> <td> </td> <td><font color=“black”> If you browse through CIG conference proceedings (<a href=“http://game.itu.dk/cig2010/proceedings/wp-content/acceptedpapers.html”>2010</a>, <a href=“http://cilab.sejong.ac.kr/cig2011/proceedings/CIG2011/Table%20of%20Contents.htm”>2011</a>, <a href=“http://geneura.ugr.es/cig2012/proceedings.html”>2012</a>, <a href=“http://eldar.mathstat.uoguelph.ca/dashlock/CIG2013/proceedings.html”>2013<a/>) you will find a lot of AI approaches to Super-Mario game. And if you check <a href=“https://www.youtube.com/watch?v=4as28XsvKMw”>Spelunky gameplay</a> you will find a lot of similarities … as well as a lot of differences! The aim of this project would be to try to embrace some Super-Mario technique, combine it with path-planning and create at least moderate bot for Spelunky using <a href=“http://t2thompson.com/projects/spelunkbots/”>SeplunkBots</a> API. </td> </tr> </table>