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Yohannes Kassahun: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Yohannes Kassahun, Gerald Sommer
    Efficient reinforcement learning through Evolutionary Acquisition of Neural Topologies. [Citation Graph (0, 0)][DBLP]
    ESANN, 2005, pp:259-266 [Conf]
  2. Nils T. Siebel, Yohannes Kassahun
    Learning Neural Networks for Visual Servoing Using Evolutionary Methods. [Citation Graph (0, 0)][DBLP]
    HIS, 2006, pp:6- [Conf]
  3. Yohannes Kassahun, Gerald Sommer
    Evolutionary Reinforcement Learning for Simulated Locomotion of a Robot with a Two-link Arm. [Citation Graph (0, 0)][DBLP]
    IAS, 2006, pp:263-271 [Conf]
  4. Yohannes Kassahun, Mark Edgington, Jose de Gea, Frank Kirchner
    Exploiting Sensorimotor Coordination for Learning to Recognize Objects. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:883-888 [Conf]
  5. Yohannes Kassahun, Mark Edgington, Jan Hendrik Metzen, Gerald Sommer, Frank Kirchner
    A common genetic encoding for both direct and indirect encodings of networks. [Citation Graph (0, 0)][DBLP]
    GECCO, 2007, pp:1029-1036 [Conf]
  6. Larbi Abdenebaoui, Elsa A. Kirchner, Yohannes Kassahun, Frank Kirchner
    A Connectionist Architecture for Learning to Play a Simulated Brio Labyrinth Game. [Citation Graph (0, 0)][DBLP]
    KI, 2007, pp:427-430 [Conf]
  7. Yohannes Kassahun, Jan Hendrik Metzen, Jose de Gea, Mark Edgington, Frank Kirchner
    A General Framework for Encoding and Evolving Neural Networks. [Citation Graph (0, 0)][DBLP]
    KI, 2007, pp:205-219 [Conf]

  8. Automatic Neural Robot Controller Design using Evolutionary Acquisition of Neural Topologies. [Citation Graph (, )][DBLP]


  9. Analysis of an evolutionary reinforcement learning method in a multiagent domain. [Citation Graph (, )][DBLP]


  10. Towards efficient online reinforcement learning using neuroevolution. [Citation Graph (, )][DBLP]


  11. Accelerating neuroevolutionary methods using a Kalman filter. [Citation Graph (, )][DBLP]


  12. Learning complex robot control using evolutionary behavior based systems. [Citation Graph (, )][DBLP]


  13. Performance evaluation of EANT in the robocup keepaway benchmark. [Citation Graph (, )][DBLP]


  14. EANT+KALMAN: An Efficient Reinforcement Learning Method for Continuous State Partially Observable Domains. [Citation Graph (, )][DBLP]


  15. Learning Walking Patterns for Kinematically Complex Robots Using Evolution Strategies. [Citation Graph (, )][DBLP]


  16. Evolving Neural Networks for Online Reinforcement Learning. [Citation Graph (, )][DBLP]


  17. Dynamic motion modelling for legged robots. [Citation Graph (, )][DBLP]


  18. Towards a Multimodal Sensorimotor Coordination Based Object Recognition System. [Citation Graph (, )][DBLP]


  19. Dynamic Motion Modelling for Legged Robots [Citation Graph (, )][DBLP]


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