2008 |
15 | EE | Thomas Gabel,
Martin A. Riedmiller:
Reinforcement learning for DEC-MDPs with changing action sets and partially ordered dependencies.
AAMAS (3) 2008: 1333-1336 |
14 | EE | Thomas Gabel,
Martin Riedmiller:
Increasing Precision of Credible Case-Based Inference.
ECCBR 2008: 225-239 |
13 | EE | Thomas Gabel,
Martin Riedmiller:
Evaluation of Batch-Mode Reinforcement Learning Methods for Solving DEC-MDPs with Changing Action Sets.
EWRL 2008: 82-95 |
12 | EE | Thomas Gabel,
Martin A. Riedmiller:
Joint Equilibrium Policy Search for Multi-Agent Scheduling Problems.
MATES 2008: 61-72 |
2007 |
11 | EE | Thomas Gabel,
Martin Riedmiller:
An Analysis of Case-Based Value Function Approximation by Approximating State Transition Graphs.
ICCBR 2007: 344-358 |
2006 |
10 | | Armin Stahl,
Thomas Gabel:
Optimizing Similarity Assessment in Case-Based Reasoning.
AAAI 2006 |
9 | EE | Thomas Gabel,
Martin Riedmiller:
Multi-agent Case-Based Reasoning for Cooperative Reinforcement Learners.
ECCBR 2006: 32-46 |
8 | EE | Thomas Gabel,
Martin Riedmiller:
Reducing policy degradation in neuro-dynamic programming.
ESANN 2006: 653-658 |
7 | 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) |
6 | EE | Thomas Gabel,
Martin A. Riedmiller:
Learning a Partial Behavior for a Competitive Robotic Soccer Agent.
KI 20(2): 18-23 (2006) |
2005 |
5 | EE | Thomas Gabel,
Martin A. Riedmiller:
CBR for State Value Function Approximation in Reinforcement Learning.
ICCBR 2005: 206-221 |
4 | | Thomas Gabel:
On the Use of Vocabulary Knowledge for Learning Similarity Measures.
Wissensmanagement 2005: 253-258 |
3 | EE | Thomas Gabel:
On the Use of Vocabulary Knowledge for Learning Similarity Measures.
Wissensmanagement (LNCS Volume) 2005: 272-283 |
2004 |
2 | EE | Thomas Gabel,
Armin Stahl:
Exploiting Background Knowledge when Learning Similarity Measures.
ECCBR 2004: 169-183 |
2003 |
1 | EE | Armin Stahl,
Thomas Gabel:
Using Evolution Programs to Learn Local Similarity Measures.
ICCBR 2003: 537-551 |