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Martin A. Riedmiller
- > Home > Persons > Martin A. Riedmiller
Publications
- 2012
- [p2]Sascha Lange, Thomas Gabel, Martin A. Riedmiller:
Batch Reinforcement Learning. Reinforcement Learning 2012: 45-73 - 2011
- [c56]Thomas Gabel, Christian Lutz, Martin A. Riedmiller:
Improved neural fitted Q iteration applied to a novel computer gaming and learning benchmark. ADPRL 2011: 279-286 - 2010
- [c53]Thomas Gabel, Martin A. Riedmiller:
On Progress in RoboCup: The Simulation League Showcase. RoboCup 2010: 36-47 - 2009
- [j13]Martin A. Riedmiller, Thomas Gabel, Roland Hafner, Sascha Lange:
Reinforcement learning for robot soccer. Auton. Robots 27(1): 55-73 (2009) - 2008
- [c51]Thomas Gabel, Martin A. Riedmiller:
Reinforcement learning for DEC-MDPs with changing action sets and partially ordered dependencies. AAMAS (3) 2008: 1333-1336 - [c50]Thomas Gabel, Martin A. Riedmiller:
Increasing Precision of Credible Case-Based Inference. ECCBR 2008: 225-239 - [c49]Thomas Gabel, Martin A. Riedmiller:
Evaluation of Batch-Mode Reinforcement Learning Methods for Solving DEC-MDPs with Changing Action Sets. EWRL 2008: 82-95 - [c47]Thomas Gabel, Martin A. Riedmiller:
Joint Equilibrium Policy Search for Multi-Agent Scheduling Problems. MATES 2008: 61-72 - [c46]Thomas Gabel, Martin A. Riedmiller, Florian Trost:
A Case Study on Improving Defense Behavior in Soccer Simulation 2D: The NeuroHassle Approach. RoboCup 2008: 61-72 - 2007
- [c45]Martin A. Riedmiller, Thomas Gabel:
On Experiences in a Complex and Competitive Gaming Domain: Reinforcement Learning Meets RoboCup. CIG 2007: 17-23 - [c44]Thomas Gabel, Martin A. Riedmiller:
Scaling Adaptive Agent-Based Reactive Job-Shop Scheduling to Large-Scale Problems. CISched 2007: 259-266 - [c39]Thomas Gabel, Martin A. Riedmiller:
An Analysis of Case-Based Value Function Approximation by Approximating State Transition Graphs. ICCBR 2007: 344-358 - 2006
- [j9]Martin A. Riedmiller, Thomas Gabel, Roland Hafner, Sascha Lange, Martin Lauer:
Die Brainstormers: Entwurfsprinzipien lernfähiger autonomer Roboter. Inform. Spektrum 29(3): 175-190 (2006) - [j8]Thomas Gabel, Martin A. Riedmiller:
Learning a Partial Behavior for a Competitive Robotic Soccer Agent. Künstliche Intell. 20(2): 18-23 (2006) - [c36]Thomas Gabel, Martin A. Riedmiller:
Reducing policy degradation in neuro-dynamic programming. ESANN 2006: 653-658 - [c35]Thomas Gabel, Martin A. Riedmiller:
Multi-agent Case-Based Reasoning for Cooperative Reinforcement Learners. ECCBR 2006: 32-46 - 2005
- [c32]Thomas Gabel, Martin A. Riedmiller:
CBR for State Value Function Approximation in Reinforcement Learning. ICCBR 2005: 206-221
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