Jan Hendrik Metzen

Jan Hendrik Metzen, Su Kyoung Kim, Elsa Andrea Kirchner: Minimizing Calibration Time for Brain Reading. DAGM-Symposium 2011: 366-375

Jan Hendrik Metzen, Frank Kirchner: Model-based direct policy search. AAMAS 2010: 1589-1590

Jan Hendrik Metzen, Tim Kröger, Andrea Schenk, Stephan Zidowitz, Heinz-Otto Peitgen, Xiaoyi Jiang: Matching of anatomical tree structures for registration of medical images. Image Vision Comput. 27(7): 923-933 (2009)

Jan Hendrik Metzen, Mark Edgington, Yohannes Kassahun, Frank Kirchner: Analysis of an evolutionary reinforcement learning method in a multiagent domain. AAMAS (1) 2008: 291-298

Yohannes Kassahun, Jose de Gea, Mark Edgington, Jan Hendrik Metzen, Frank Kirchner: Accelerating neuroevolutionary methods using a Kalman filter. GECCO 2008: 1397-1404

Jan Hendrik Metzen, Frank Kirchner, Mark Edgington, Yohannes Kassahun: Towards efficient online reinforcement learning using neuroevolution. GECCO 2008: 1425-1426

Yohannes Kassahun, Jose de Gea, Jan Hendrik Metzen, Mark Edgington, Frank Kirchner: EANT+KALMAN: An Efficient Reinforcement Learning Method for Continuous State Partially Observable Domains. KI 2008: 241-248

Jan Hendrik Metzen, Mark Edgington, Yohannes Kassahun, Frank Kirchner: Evolving Neural Networks for Online Reinforcement Learning. PPSN 2008: 518-527

Malte Römmermann, Mark Edgington, Jan Hendrik Metzen, Jose de Gea, Yohannes Kassahun, Frank Kirchner: Learning Walking Patterns for Kinematically Complex Robots Using Evolution Strategies. PPSN 2008: 1091-1100

Jan Hendrik Metzen, Tim Kröger, Andrea Schenk, Stephan Zidowitz, Heinz-Otto Peitgen, Xiaoyi Jiang: Matching von Baumstrukturen. Bildverarbeitung für die Medizin 2007: 116-120

Jan Hendrik Metzen, Tim Kröger, Andrea Schenk, Stephan Zidowitz, Heinz-Otto Peitgen, Xiaoyi Jiang: Matching of Tree Structures for Registration of Medical Images. GbRPR 2007: 13-24

Yohannes Kassahun, Mark Edgington, Jan Hendrik Metzen, Gerald Sommer, Frank Kirchner: A common genetic encoding for both direct and indirect encodings of networks. GECCO 2007: 1029-1036

Jan Hendrik Metzen, Mark Edgington, Yohannes Kassahun, Frank Kirchner: Performance evaluation of EANT in the robocup keepaway benchmark. ICMLA 2007: 342-347

Yohannes Kassahun, Jan Hendrik Metzen, Jose de Gea, Mark Edgington, Frank Kirchner: A General Framework for Encoding and Evolving Neural Networks. KI 2007: 205-219

Jens Müller, Jan Hendrik Metzen, Alexander Ploss, Maraike Schellmann, Sergei Gorlatch: Rokkatan: scaling an RTS game design to the massively multiplayer realm. Advances in Computer Entertainment Technology 2005: 125-132