Karlsruhe Brainstormers - A Reinforcement Learning Approach to Robotic Soccer
RoboCup 2000: Robot Soccer World Cup IV
Executing multi-robot cases through a single coordinator
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Acquiring a robust case base for the robot soccer domain
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Retrieving and reusing game plays for robot soccer
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Understanding Dubious Future Problems
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Incorporating a Temporal Bounded Execution to the CBR Methodology
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Improving Reinforcement Learning by Using Case Based Heuristics
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Hi-index | 0.00 |
This paper presents extensions and improvements of previous work, where we defined a CBR system for action selection in the robot soccer domain. We show empirical results obtained with real robots, comparing our team playing approach with an individualist approach.