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Martin A. Riedmiller: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Martin A. Riedmiller, Andrew W. Moore, Jeff G. Schneider
    Reinforcement Learning for Cooperating and Communicating Reactive Agents in Electrical Power Grids. [Citation Graph (0, 0)][DBLP]
    Balancing Reactivity and Social Deliberation in Multi-Agent Systems, 2000, pp:137-149 [Conf]
  2. Martin A. Riedmiller
    Application of a self-learning controller with continuous control signals based on the DOE-approach. [Citation Graph (0, 0)][DBLP]
    ESANN, 1997, pp:- [Conf]
  3. Ralf Schoknecht, Martin A. Riedmiller
    Speeding-up Reinforcement Learning with Multi-step Actions. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:813-818 [Conf]
  4. Ralf Schoknecht, Martin A. Riedmiller
    Learning to Control at Multiple Time Scales. [Citation Graph (0, 0)][DBLP]
    ICANN, 2003, pp:479-487 [Conf]
  5. Thomas Gabel, Martin A. Riedmiller
    CBR for State Value Function Approximation in Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    ICCBR, 2005, pp:206-221 [Conf]
  6. 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]
  7. Jeff G. Schneider, Weng-Keen Wong, Andrew W. Moore, Martin A. Riedmiller
    Distributed Value Functions. [Citation Graph (0, 0)][DBLP]
    ICML, 1999, pp:371-378 [Conf]
  8. 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]
  9. Simone C. Riedmiller, Martin A. Riedmiller
    A Neural Reinforcement Learning Approach to Learn Local Dispatching Policies in Production Scheduling. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1999, pp:764-771 [Conf]
  10. 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]
  11. Alexander Sung, Artur Merke, Martin A. Riedmiller
    Reinforcement Learning Using a Grid Based Function Approximator. [Citation Graph (0, 0)][DBLP]
    Biomimetic Neural Learning for Intelligent Robots, 2005, pp:235-244 [Conf]
  12. Sebastian Buck, Martin A. Riedmiller
    Learning Situation Dependent Success Rates of Actions in a RoboCup Scenario. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2000, pp:809- [Conf]
  13. Artur Merke, Martin A. Riedmiller
    Karlsruhe Brainstormers - A Reinforcement Learning Approach to Robotic Soccer. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2001, pp:435-440 [Conf]
  14. Martin A. Riedmiller, Sebastian Buck, Artur Merke, R. Ehrmann, Ortwin Thate, S. Dilger, Alex Sinner, Andreas Hoffmann, L. Frommberger
    Karlsruhe Brainstormers - Design Principles. [Citation Graph (0, 0)][DBLP]
    RoboCup, 1999, pp:588-591 [Conf]
  15. Martin A. Riedmiller, Artur Merke, David Meier, Andreas Hoffmann, Alex Sinner, Ortwin Thate
    Karlsruhe Brainstormers 2000 Team Description. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2000, pp:485-488 [Conf]
  16. Martin A. Riedmiller, Artur Merke, David Meier, Andreas Hoffmann, Alex Sinner, Ortwin Thate, R. Ehrmann
    Karlsruhe Brainstormers - A Reinforcement Learning Approach to Robotic Soccer. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2000, pp:367-372 [Conf]
  17. 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]
  18. Martin A. Riedmiller, Daniel Withopf
    Effective Methods for Reinforcement Learning in Large Multi-Agent Domains. [Citation Graph (0, 0)][DBLP]
    it - Information Technology, 2005, v:47, n:5, pp:241-249 [Journal]
  19. Thomas Gabel, Martin A. Riedmiller
    Learning a Partial Behavior for a Competitive Robotic Soccer Agent. [Citation Graph (0, 0)][DBLP]
    KI, 2006, v:20, n:2, pp:18-23 [Journal]
  20. Ralf Schoknecht, Martin Spott, Martin A. Riedmiller
    Fynesse: An architecture for integrating prior knowledge in autonomously learning agents. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2004, v:8, n:6, pp:397-408 [Journal]

  21. Reinforcement learning for DEC-MDPs with changing action sets and partially ordered dependencies. [Citation Graph (, )][DBLP]


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


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


  24. Joint Equilibrium Policy Search for Multi-Agent Scheduling Problems. [Citation Graph (, )][DBLP]


  25. A Case Study on Improving Defense Behavior in Soccer Simulation 2D: The NeuroHassle Approach. [Citation Graph (, )][DBLP]


  26. Computational object recognition: a biologically motivated approach. [Citation Graph (, )][DBLP]


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