~~NOTOC~~

===== Laboratory (Praktikum, Master) =====

**Fortgeschrittene Methoden des maschinellen Lernens für Simulationsfußball**\\
(Advanced Machine Learning Methods for Soccer Simulation)\\
//Prof. Dr. M. Riedmiller and Dr. Thomas Gabel//

  * **Meetings:**
    * Tuesdays, 14.15-15.45
    * room SR00029 (pool), building 082
  * **Start:**
    * first meeting: 20.10.2009
  * **Credit Points:**
    * 6 ECTS
  * **Requirements:**
    * good programming skills (C/C++) 
    * basic knowledge of machine learning
    * having attended the lecture [[:teaching:ss09:ml|Machine Learning]] (summer term 2009) or attending the lecture [[:teaching:ws0910:rl|Optimierendes Lernen (Reinforcement Learning)]] (this term) is advantageous
  * **Language:**
    * English



==== 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 machine learning approaches and at their deployment in the scope of a robotic soccer simulation team. 


==== Resources ====

Follow this [[:teaching:ws0910:mlss_res:info|link]] to retrieve all materials related to this course (login data will be provided during the first meeting).