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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 Riedmiller
   Neural Fitted Q Iteration - First Experiences with a Data Efficient Neural Reinforcement Learning Method. [Citation Graph (0, 0)][DBLP]
   ECML, 2005, pp:317-328 [Conf]
   
3. Thomas Gabel, Martin Riedmiller
   Reducing policy degradation in neuro-dynamic programming. [Citation Graph (0, 0)][DBLP]
   ESANN, 2006, pp:653-658 [Conf]
   
4. Thomas Gabel, Martin Riedmiller
   Multi-agent Case-Based Reasoning for Cooperative Reinforcement Learners. [Citation Graph (0, 0)][DBLP]
   ECCBR, 2006, pp:32-46 [Conf]
   
5. Martin Riedmiller
   Machine Learning for Autonomous Robots. [Citation Graph (0, 0)][DBLP]
   KI, 2004, pp:52-55 [Conf]
   
6. Achim Stahlberger, Martin Riedmiller
   Fast Network Pruning and Feature Extraction by using the Unit-OBS Algorithm. [Citation Graph (0, 0)][DBLP]
   NIPS, 1996, pp:655-661 [Conf]
   
7. Hans-Dieter Burkhard, Minoru Asada, Andrea Bonarini, Adam Jacoff, Daniele Nardi, Martin Riedmiller, Claude Sammut, Elizabeth Sklar, Manuela M. Veloso
   RoboCup: Yesterday, Today, and Tomorrow Workshop of the Executive Committee in Blaubeuren, October 2003. [Citation Graph (0, 0)][DBLP]
   RoboCup, 2003, pp:15-34 [Conf]
   
8. Sascha Lange, Martin Riedmiller
   Evolution of Computer Vision Subsystems in Robot Navigation and Image Classification Tasks. [Citation Graph (0, 0)][DBLP]
   RobuCup, 2004, pp:184-195 [Conf]
   
9. 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]
   
10. Enrico Pagello, Emanuele Menegatti, Ansgar Bredenfeld, Paulo Costa, Thomas Christaller, Adam Jacoff, Jeffrey Johnson, Martin Riedmiller, Alessandro Saffiotti, Takashi Tomoichi
    Overview of RoboCup 2003 Competition and Conferences. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2003, pp:1-14 [Conf]
    
11. Enrico Pagello, Emanuele Menegatti, Ansgar Bredenfeld, Paulo Costa, Thomas Christaller, Adam Jacoff, Daniel Polani, Martin Riedmiller, Alessandro Saffiotti, Elizabeth Sklar, Takashi Tomoichi
    RoboCup-2003: New Scientific and Technical Advances. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2004, v:25, n:2, pp:81-98 [Journal]
    
12. Martin Riedmiller, François Fages, Malik Ghallab, Wolfgang Wahlster, Jörg H. Siekmann
    Invited talks. [Citation Graph (0, 0)][DBLP]
    KI, 2004, v:18, n:3, pp:44-0 [Journal]
    
13. Martin Riedmiller
    Concepts and Facilities of a Neural Reinforcement Learning Control Architecture for Technical Process Control. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 1999, v:8, n:4, pp:323-338 [Journal]
    
14. Ralf Schoknecht, Martin Riedmiller
    Reinforcement learning on explicitly specified time scales. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 2003, v:12, n:2, pp:61-80 [Journal]
    
15. Stephan Timmer, Martin Riedmiller
    Safe Q-Learning on Complete History Spaces. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:394-405 [Conf]
    
16. Thomas Gabel, Martin Riedmiller
    An Analysis of Case-Based Value Function Approximation by Approximating State Transition Graphs. [Citation Graph (0, 0)][DBLP]
    ICCBR, 2007, pp:344-358 [Conf]
    
17. Roland Hafner, Martin Riedmiller
    Neural Reinforcement Learning Controllers for a Real Robot Application. [Citation Graph (0, 0)][DBLP]
    ICRA, 2007, pp:2098-2103 [Conf]
    
18. 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]
    
19. Sascha Lange, Martin Riedmiller
    Appearance-Based Robot Discrimination Using Eigenimages. [Citation Graph (0, 0)][DBLP]
    RoboCup, 2006, pp:499-506 [Conf]
    
20. 
    Increasing Precision of Credible Case-Based Inference. [Citation Graph (, )][DBLP]
    
    
21. 
    The Neuro Slot Car Racer: Reinforcement Learning in a Real World Setting. [Citation Graph (, )][DBLP]
    
    
22. 
    Learning to Drive a Real Car in 20 Minutes. [Citation Graph (, )][DBLP]
    
    
23. 
    Evaluation of Batch-Mode Reinforcement Learning Methods for Solving DEC-MDPs with Changing Action Sets. [Citation Graph (, )][DBLP]
    
    
24. 
    Reinforcement learning for robot soccer. [Citation Graph (, )][DBLP]