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Martin Lauer: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Martin Lauer, Martin Riedmiller
    Reinforcement Learning for Stochastic Cooperative Multi-Agent Systems. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2004, pp:1516-1517 [Conf]
  2. Martin Lauer
    A Mixture Approach to Novelty Detection Using Training Data with Outliers. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:300-311 [Conf]
  3. Martin Lauer
    Sampling Parameters to Estimate a Mixture Distribution with Unknown Size. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:414-419 [Conf]
  4. Martin Lauer, Martin A. Riedmiller
    An Algorithm for Distributed Reinforcement Learning in Cooperative Multi-Agent Systems. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:535-542 [Conf]
  5. Martin Lauer, Martin A. Riedmiller, Thomas Ragg, Walter Baum, Michael Wigbers
    The Smaller the Better: Comparison of Two Approaches for Sales Rate Prediction. [Citation Graph (0, 0)][DBLP]
    IDA, 2003, pp:451-461 [Conf]
  6. Martin Lauer, Sascha Lange, Martin A. Riedmiller
    Modeling Moving Objects in a Dynamically Changing Robot Application. [Citation Graph (0, 0)][DBLP]
    KI, 2005, pp:291-303 [Conf]
  7. Martin Lauer, Sascha Lange, Martin Riedmiller
    Calculating the Perfect Match: An Efficient and Accurate Approach for Robot Self-localization. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2005, pp:142-153 [Conf]
  8. Martin A. Riedmiller, Thomas Gabel, Roland Hafner, Sascha Lange, Martin Lauer
    Die Brainstormers: Entwurfsprinzipien lernfähiger autonomer Roboter. [Citation Graph (0, 0)][DBLP]
    Informatik Spektrum, 2006, v:29, n:3, pp:175-190 [Journal]
  9. Heiko Müller, Martin Lauer, Roland Hafner, Sascha Lange, Artur Merke, Martin Riedmiller
    Making a Robot Learn to Play Soccer Using Reward and Punishment. [Citation Graph (0, 0)][DBLP]
    KI, 2007, pp:220-234 [Conf]
  10. Martin Lauer
    Ego-Motion Estimation and Collision Detection for Omnidirectional Robots. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2006, pp:466-473 [Conf]

  11. Reinforcement learning in a nutshell. [Citation Graph (, )][DBLP]

  12. Learning to dribble on a real robot by success and failure. [Citation Graph (, )][DBLP]

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