An Algorithm for Distributed Reinforcement Learning in Cooperative Multi-Agent Systems
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Team-Partitioned, Opaque-Transition Reinforced Learning
RoboCup-98: Robot Soccer World Cup II
Learning to act using real-time dynamic programming
Artificial Intelligence
Situation Based Strategic Positioning for Coordinating a Team of Homogeneous Agents
Balancing Reactivity and Social Deliberation in Multi-Agent Systems, From RoboCup to Real-World Applications (selected papers from the ECAI 2000 Workshop and additional contributions)
COACH UNILANG - A Standard Language for Coaching a (Robo)Soccer Team
RoboCup 2001: Robot Soccer World Cup V
Keepaway Soccer: A Machine Learning Testbed
RoboCup 2001: Robot Soccer World Cup V
Karlsruhe Brainstormers - A Reinforcement Learning Approach to Robotic Soccer
RoboCup 2001: Robot Soccer World Cup V
RoboCup 2000: Robot Soccer World Cup IV
FC Portugal Team Description: RoboCup 2000 Simulation League Champion
RoboCup 2000: Robot Soccer World Cup IV
Karlsruhe Brainstormers 2000 Team Description
RoboCup 2000: Robot Soccer World Cup IV
Plan-Based Control for Autonomous Soccer Robots (Preliminary Report)
Revised Papers from the International Seminar on Advances in Plan-Based Control of Robotic Agents,
Qualitative Velocity and Ball Interception
KI '02 Proceedings of the 25th Annual German Conference on AI: Advances in Artificial Intelligence
Half Field Offense in RoboCup Soccer: A Multiagent Reinforcement Learning Case Study
RoboCup 2006: Robot Soccer World Cup X
Team Playing Behavior in Robot Soccer: A Case-Based Reasoning Approach
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Learning context conditions for BDI plan selection
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Extending BDI plan selection to incorporate learning from experience
Robotics and Autonomous Systems
Multiagent reactive plan application learning in dynamic environments
Proceedings of the 15th WSEAS international conference on Computers
Retrieving and reusing game plays for robot soccer
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
Integrating learning into a BDI Agent for environments with changing dynamics
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Analysis of strategy in robot soccer game
Neurocomputing
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Our long-term goal is to build a robot soccer team where the decision making part is based completely on Reinforcement Learning (RL) methods. The paper describes the overall approach pursued by the Karlsruhe Brainstormers simulator league team. Main parts of basic decision making are meanwhile solved using RL techniques. On the tactical level, first empirical results are presented for 2 against 2 attack situations.