Prize for CIOP Bachelor Thesis in Reinforcement Learning

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Mr. Markus Thill has won the first price in the 2012 OPITZ CONSULTING “Innovation in Informatics” contest. Many congratulations from the CIOP team!! Mr. Thill’s thesis advanced the state of the art in reinforcement learning for complex board games, here Connect Four. Read more about his work on this page. 

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TDMR Package V 0.9.0 Released on CRAN

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The CIOP team is proud to announce that the latest version (V 0.9.0, February 2013) of the Tuned Data Mining in R (TDMR) package is now available for download on the Comprehensive R Archive Network (CRAN). Download the new released version from this link.   

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Prof. Michael Emmerich, Leiden University, gives a talk at Campus GM

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Title: Self-Adaptive Algorithms for Finding Robust Optima: Promises and Limitations Time:   Fr., Oct, 26th, 2012, 11:00-11:45, Place: Room 0.214   Abstract: Many problems in engineering design deal with locating optimal parameter configurations for systems. Evolution strategies provide a robust framework for this. This talk deals with the question of how we can find optima that...

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How slow is slow? SFA detects signals that are slower than the driving force

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Publication: Wolfgang Konen, Patrick Koch, How slow is slow? SFA detects signals that are slower than the driving force, In: B. Filipic, J. Silc (eds.), Proc. 4th Int. Conf. on Bioinspired Optimization Methods and their Applications, BIOMA 2010, May 2010, Ljubljana, Slovenia

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