Particular thanks to all the students, colleagues and administrative staff, who have contributed to the success of the Machine Learning Lab in the recent years! Keep on learning!
Dr. Joschka Bödecker will temporarilly head the MLL lab and teach the courses in the upcoming summer term.
Future computer programs will contain a growing part of 'intelligent' software modules that are not conventionally programmed but that are learned either from data provided by the user, or from data that the program autonomously collects during its use. Successful realisations of this concept can be found in several of our application areas: robotics (our robotic soccer team Brainstormers became worldchampion at RoboCup 2005, 2007, 2008 (simulation 2D) and worldchampion at RoboCup 2006 and 2007 (Middle Size), and won the Technical Challenge Award at RoboCup 2006, 2007 and 2008), sales rate prediction or control of technical processes.
My general research interest is to investigate and develop such learning modules by applying machine learning techniques to interesting real world problems. Main research activities are in the areas of supervised learning (learning from examples) and reinforcement learning (autonomous learning without a teacher).