| 2013 | ||
|---|---|---|
| j1 | Alexander Fabisch, Yohannes Kassahun, Hendrik Wöhrle, Frank Kirchner: Learning in compressed space. Neural Networks 42: 83-93 (2013) | |
| 2012 | ||
| c19 | Yohannes Kassahun, Hendrik Wöhrle, Alexander Fabisch, Marc Tabie: Learning Parameters of Linear Models in Compressed Parameter Space. ICANN (2) 2012: 108-115 | |
| 2010 | ||
| i1 | Mark Edgington, Yohannes Kassahun, Frank Kirchner: Dynamic Motion Modelling for Legged Robots. CoRR abs/1005.5035 (2010) | |
| 2009 | ||
| c18 | Yohannes Kassahun, Jakob Schwendner, Jose de Gea, Mark Edgington, Frank Kirchner: Learning complex robot control using evolutionary behavior based systems. GECCO 2009: 129-136 | |
| c17 | Mark Edgington, Yohannes Kassahun, Frank Kirchner: Dynamic motion modelling for legged robots. IROS 2009: 4688-4694 | |
| 2008 | ||
| c16 | 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 | |
| c15 | Yohannes Kassahun, Jose de Gea, Mark Edgington, Jan Hendrik Metzen, Frank Kirchner: Accelerating neuroevolutionary methods using a Kalman filter. GECCO 2008: 1397-1404 | |
| c14 | Jan Hendrik Metzen, Frank Kirchner, Mark Edgington, Yohannes Kassahun: Towards efficient online reinforcement learning using neuroevolution. GECCO 2008: 1425-1426 | |
| c13 | 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 | |
| c12 | Jan Hendrik Metzen, Mark Edgington, Yohannes Kassahun, Frank Kirchner: Evolving Neural Networks for Online Reinforcement Learning. PPSN 2008: 518-527 | |
| c11 | 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 | |
| p1 | Nils T. Siebel, Gerald Sommer, Yohannes Kassahun: Evolutionary Learning of Neural Structures for Visuo-Motor Control. Computational Intelligence in Medical Informatics 2008: 93-115 | |
| 2007 | ||
| c10 | 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 | |
| c9 | Jan Hendrik Metzen, Mark Edgington, Yohannes Kassahun, Frank Kirchner: Performance evaluation of EANT in the robocup keepaway benchmark. ICMLA 2007: 342-347 | |
| c8 | Yohannes Kassahun, Mark Edgington, Jose de Gea, Frank Kirchner: Exploiting Sensorimotor Coordination for Learning to Recognize Objects. IJCAI 2007: 883-888 | |
| c7 | 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 | |
| c6 | Larbi Abdenebaoui, Elsa Andrea Kirchner, Yohannes Kassahun, Frank Kirchner: A Connectionist Architecture for Learning to Play a Simulated Brio Labyrinth Game. KI 2007: 427-430 | |
| 2006 | ||
| b1 | Yohannes Kassahun: Towards a unified approach to learning and adaptation. University of Kiel 2006, isbn spiralgeh., pp. 1-144 | |
| c5 | Nils T. Siebel, Yohannes Kassahun: Learning Neural Networks for Visual Servoing Using Evolutionary Methods. HIS 2006: 6 | |
| c4 | Yohannes Kassahun, Gerald Sommer: Evolutionary Reinforcement Learning for Simulated Locomotion of a Robot with a Two-link Arm. IAS 2006: 263-271 | |
| c3 | Yohannes Kassahun, Mark Edgington, Jose de Gea, Frank Kirchner: Towards a Multimodal Sensorimotor Coordination Based Object Recognition System. ROBIO 2006: 561-566 | |
| 2005 | ||
| c2 | Yohannes Kassahun, Gerald Sommer: Automatic Neural Robot Controller Design using Evolutionary Acquisition of Neural Topologies. AMS 2005: 315-321 | |
| c1 | Yohannes Kassahun, Gerald Sommer: Efficient reinforcement learning through Evolutionary Acquisition of Neural Topologies. ESANN 2005: 259-266 | |
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