Machine Learning and Natural Language Processing Lab

Praktikum: Advanced Machine Learning for Simulated Soccer

Praktikum

Prof Dr. M. Riedmiller and co-organisator: Thomas Gabel

• Lectures:
• Wednesday, 11:00 - 13:00, Building 051, Room SR 03-029 (Pool)

• Start:
• 29.04.2009

• Credit points (Kreditpunkte):
• 6 ECTS

• Language:
• Deutsch/German

• Overview:

Syllabus: RoboCup is an international research initiative intending to expedite artificial intelligence and intelligent robotics research by defining a set of standard problems where various technologies can be combined solving them. Annually, there are championship tournaments in several leagues, ranging from rescue tasks over real soccer-playing robots to simulated ones. Traditionally, the soccer simulation league has been the most prominent section of RoboCup for investigating and applying AI-based and machine learning approaches for soccer-playing agents. In this practical course the participants will aim at the development of various machine learning approaches and at their deployment in the scope of a robotic soccer simulation team. The course consists of two parallel streams that differ in their extent and degree of difficulty. While 'Machine Learning for Soccer Simulation' is intended for Bachelor students (4 ECTS), the 'Advanced Machine Learning for Simulated Soccer' track is intended for Master students (6 ECTS).

• Requirements:
• good programming skills (C/C++)
• basic knowledge of machine learning

• Further information:
• TBA

• Registration:
• Registration is done using the official server.