Martin A. Riedmiller

Martin Riedmiller

2009
49	EE	Tim C. Kietzmann, Sascha Lange, Martin A. Riedmiller: Computational object recognition: a biologically motivated approach. Biological Cybernetics 100(1): 59-79 (2009)
2008
48	EE	Thomas Gabel, Martin A. Riedmiller: Reinforcement learning for DEC-MDPs with changing action sets and partially ordered dependencies. AAMAS (3) 2008: 1333-1336
47	EE	Thomas Gabel, Martin Riedmiller: Increasing Precision of Credible Case-Based Inference. ECCBR 2008: 225-239
46	EE	Thomas Gabel, Martin Riedmiller: Evaluation of Batch-Mode Reinforcement Learning Methods for Solving DEC-MDPs with Changing Action Sets. EWRL 2008: 82-95
45	EE	Martin A. Riedmiller, Roland Hafner, Sascha Lange, Martin Lauer: Learning to dribble on a real robot by success and failure. ICRA 2008: 2207-2208
44	EE	Thomas Gabel, Martin A. Riedmiller: Joint Equilibrium Policy Search for Multi-Agent Scheduling Problems. MATES 2008: 61-72
2007
43	EE	Stephan Timmer, Martin Riedmiller: Safe Q-Learning on Complete History Spaces. ECML 2007: 394-405
42	EE	Verena Heidrich-Meisner, Martin Lauer, Christian Igel, Martin A. Riedmiller: Reinforcement learning in a nutshell. ESANN 2007: 277-288
41	EE	Martin Riedmiller, Michael Montemerlo, Hendrik Dahlkamp: Learning to Drive a Real Car in 20 Minutes. FBIT 2007: 645-650
40	EE	Thomas Gabel, Martin Riedmiller: An Analysis of Case-Based Value Function Approximation by Approximating State Transition Graphs. ICCBR 2007: 344-358
39	EE	Roland Hafner, Martin Riedmiller: Neural Reinforcement Learning Controllers for a Real Robot Application. ICRA 2007: 2098-2103
38	EE	Heiko Müller, Martin Lauer, Roland Hafner, Sascha Lange, Artur Merke, Martin Riedmiller: Making a Robot Learn to Play Soccer Using Reward and Punishment. KI 2007: 220-234
2006
37	EE	Thomas Gabel, Martin Riedmiller: Multi-agent Case-Based Reasoning for Cooperative Reinforcement Learners. ECCBR 2006: 32-46
36	EE	Thomas Gabel, Martin Riedmiller: Reducing policy degradation in neuro-dynamic programming. ESANN 2006: 653-658
35	EE	Sascha Lange, Martin Riedmiller: Appearance-Based Robot Discrimination Using Eigenimages. RoboCup 2006: 499-506
34	EE	Martin A. Riedmiller, Thomas Gabel, Roland Hafner, Sascha Lange, Martin Lauer: Die Brainstormers: Entwurfsprinzipien lernfähiger autonomer Roboter. Informatik Spektrum 29(3): 175-190 (2006)
33	EE	Thomas Gabel, Martin A. Riedmiller: Learning a Partial Behavior for a Competitive Robotic Soccer Agent. KI 20(2): 18-23 (2006)
2005
32		Daniele Nardi, Martin Riedmiller, Claude Sammut, José Santos-Victor: RoboCup 2004: Robot Soccer World Cup VIII Springer 2005
31	EE	Alexander Sung, Artur Merke, Martin A. Riedmiller: Reinforcement Learning Using a Grid Based Function Approximator. Biomimetic Neural Learning for Intelligent Robots 2005: 235-244
30	EE	Martin Riedmiller: Neural Fitted Q Iteration - First Experiences with a Data Efficient Neural Reinforcement Learning Method. ECML 2005: 317-328
29	EE	Thomas Gabel, Martin A. Riedmiller: CBR for State Value Function Approximation in Reinforcement Learning. ICCBR 2005: 206-221
28	EE	Martin Lauer, Sascha Lange, Martin A. Riedmiller: Modeling Moving Objects in a Dynamically Changing Robot Application. KI 2005: 291-303
27	EE	Martin Lauer, Sascha Lange, Martin Riedmiller: Calculating the Perfect Match: An Efficient and Accurate Approach for Robot Self-localization. RoboCup 2005: 142-153
26	EE	Martin A. Riedmiller, Daniel Withopf: Effective Methods for Reinforcement Learning in Large Multi-Agent Domains. it - Information Technology 47(5): 241-249 (2005)
2004
25	EE	Martin Lauer, Martin Riedmiller: Reinforcement Learning for Stochastic Cooperative Multi-Agent Systems. AAMAS 2004: 1516-1517
24	EE	Martin Riedmiller: Machine Learning for Autonomous Robots. KI 2004: 52-55
23	EE	Sascha Lange, Martin Riedmiller: Evolution of Computer Vision Subsystems in Robot Navigation and Image Classification Tasks. RobuCup 2004: 184-195
22		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. AI Magazine 25(2): 81-98 (2004)
21	EE	Martin Riedmiller, François Fages, Malik Ghallab, Wolfgang Wahlster, Jörg H. Siekmann: Invited talks. KI 18(3): 44- (2004)
20	EE	Ralf Schoknecht, Martin Spott, Martin A. Riedmiller: Fynesse: An architecture for integrating prior knowledge in autonomously learning agents. Soft Comput. 8(6): 397-408 (2004)
2003
19	EE	Ralf Schoknecht, Martin A. Riedmiller: Learning to Control at Multiple Time Scales. ICANN 2003: 479-487
18	EE	Martin Lauer, Martin A. Riedmiller, Thomas Ragg, Walter Baum, Michael Wigbers: The Smaller the Better: Comparison of Two Approaches for Sales Rate Prediction. IDA 2003: 451-461
17	EE	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. RoboCup 2003: 1-14
16	EE	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. RoboCup 2003: 15-34
15	EE	Ralf Schoknecht, Martin Riedmiller: Reinforcement learning on explicitly specified time scales. Neural Computing and Applications 12(2): 61-80 (2003)
2002
14	EE	Ralf Schoknecht, Martin A. Riedmiller: Speeding-up Reinforcement Learning with Multi-step Actions. ICANN 2002: 813-818
2001
13	EE	Artur Merke, Martin A. Riedmiller: Karlsruhe Brainstormers - A Reinforcement Learning Approach to Robotic Soccer. RoboCup 2001: 435-440
2000
12	EE	Martin A. Riedmiller, Andrew W. Moore, Jeff G. Schneider: Reinforcement Learning for Cooperating and Communicating Reactive Agents in Electrical Power Grids. Balancing Reactivity and Social Deliberation in Multi-Agent Systems 2000: 137-149
11		Martin Lauer, Martin A. Riedmiller: An Algorithm for Distributed Reinforcement Learning in Cooperative Multi-Agent Systems. ICML 2000: 535-542
10		Sebastian Buck, Martin A. Riedmiller: Learning Situation Dependent Success Rates of Actions in a RoboCup Scenario. PRICAI 2000: 809
9	EE	Martin A. Riedmiller, Artur Merke, David Meier, Andreas Hoffmann, Alex Sinner, Ortwin Thate, R. Ehrmann: Karlsruhe Brainstormers - A Reinforcement Learning Approach to Robotic Soccer. RoboCup 2000: 367-372
8	EE	Martin A. Riedmiller, Artur Merke, David Meier, Andreas Hoffmann, Alex Sinner, Ortwin Thate: Karlsruhe Brainstormers 2000 Team Description. RoboCup 2000: 485-488
1999
7		Jeff G. Schneider, Weng-Keen Wong, Andrew W. Moore, Martin A. Riedmiller: Distributed Value Functions. ICML 1999: 371-378
6		Simone C. Riedmiller, Martin A. Riedmiller: A Neural Reinforcement Learning Approach to Learn Local Dispatching Policies in Production Scheduling. IJCAI 1999: 764-771
5		Martin A. Riedmiller, Sebastian Buck, Artur Merke, R. Ehrmann, Ortwin Thate, S. Dilger, Alex Sinner, Andreas Hoffmann, Lutz Frommberger: Karlsruhe Brainstormers - Design Principles. RoboCup 1999: 588-591
4	EE	Martin Riedmiller: Concepts and Facilities of a Neural Reinforcement Learning Control Architecture for Technical Process Control. Neural Computing and Applications 8(4): 323-338 (1999)
1998
3	EE	Karoly Santa, Michael Mews, Martin Riedmiller: A Neural Approach for the Control of Piezoelectric Micromanipulation Robots. Journal of Intelligent and Robotic Systems 22(3-4): 351-374 (1998)
1997
2		Martin A. Riedmiller: Application of a self-learning controller with continuous control signals based on the DOE-approach. ESANN 1997
1996
1	EE	Achim Stahlberger, Martin Riedmiller: Fast Network Pruning and Feature Extraction by using the Unit-OBS Algorithm. NIPS 1996: 655-661

Coauthor Index

1	Minoru Asada	[16]
2	Walter Baum	[18]
3	Andrea Bonarini	[16]
4	Ansgar Bredenfeld	[17] [22]
5	Sebastian Buck	[5] [10]
6	Hans-Dieter Burkhard	[16]
7	Thomas Christaller	[17] [22]
8	Paulo Costa	[17] [22]
9	Hendrik Dahlkamp	[41]
10	S. Dilger	[5]
11	R. Ehrmann	[5] [9]
12	François Fages	[21]
13	Lutz Frommberger	[5]
14	Thomas Gabel	[29] [33] [34] [36] [37] [40] [44] [46] [47] [48]
15	Malik Ghallab	[21]
16	Roland Hafner	[34] [38] [39] [45]
17	Verena Heidrich-Meisner	[42]
18	Andreas Hoffmann	[5] [8] [9]
19	Christian Igel	[42]
20	Adam Jacoff	[16] [17] [22]
21	Jeffrey Johnson	[17]
22	Tim C. Kietzmann	[49]
23	Sascha Lange	[23] [27] [28] [34] [35] [38] [45] [49]
24	Martin Lauer	[11] [18] [25] [27] [28] [34] [38] [42] [45]
25	David Meier	[8] [9]
26	Emanuele Menegatti	[17] [22]
27	Artur Merke	[5] [8] [9] [13] [31] [38]
28	Michael Mews	[3]
29	Michael Montemerlo	[41]
30	Andrew W. Moore	[7] [12]
31	Heiko Müller	[38]
32	Daniele Nardi	[16] [32]
33	Enrico Pagello	[17] [22]
34	Daniel Polani	[22]
35	Thomas Ragg	[18]
36	Simone C. Riedmiller	[6]
37	Alessandro Saffiotti	[17] [22]
38	Claude Sammut	[16] [32]
39	Karoly Santa	[3]
40	José Santos-Victor	[32]
41	Jeff G. Schneider	[7] [12]
42	Ralf Schoknecht	[14] [15] [19] [20]
43	Jörg H. Siekmann	[21]
44	Alex Sinner	[5] [8] [9]
45	Elizabeth Sklar (Elizabeth Sklar Rozier)	[16] [22]
46	Martin Spott	[20]
47	Achim Stahlberger	[1]
48	Alexander Sung	[31]
49	Ortwin Thate	[5] [8] [9]
50	Stephan Timmer	[43]
51	Takashi Tomoichi	[17] [22]
52	Manuela M. Veloso	[16]
53	Wolfgang Wahlster	[21]
54	Michael Wigbers	[18]
55	Daniel Withopf	[26]
56	Weng-Keen Wong	[7]

Colors in the list of coauthors