CMU
RoboSoccer
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Team
Homepages
ATTCMUnited-2000 placed 3rd at RoboCup-2000!CMUnited-99 is the RoboCup-99 Simulator League World Champion Team!CMUnited-98 is the RoboCup-98 Simulator League World Champion Team!
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Publications
Books
Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer. Peter Stone. Ph.D. Theses
Layered Learning in Multi-Agent Systems. Peter Stone. Journal Articles
Task Decomposition, Dynamic Role Assignment, and Low-Bandwidth Communication for Real-Time Strategic Teamwork. Peter Stone and Manuela Veloso. HTML version A Layered Approch to Learning Client Behaviors in the RoboCup Soccer Server. Peter Stone and Manuela Veloso. HTML version A Japanese translation by Takayoshi Ishii Some related slides: ( PostScript / html) Towards Collaborative and Adversarial Learning: A Case Study in Robotic Soccer. Peter Stone and Manuela Veloso. HTML version Book Chapters
The CMUnited-98 Champion Simulator Team. (extended version) Peter Stone, Manuela Veloso, and Patrick Riley HTML version and in "RoboCup-98: The Second Robot World Cup Soccer Games and Conferences", M. Asada (ed.), 1999. Springer Verlag, Berlin. Team-Partitioned, Opaque-Transition Reinforcement Learning. Peter Stone and Manuela Veloso HTML version Also in Second International Conference on Autonomous Agents, 1998. Using Decision Tree Confidence Factors for Multiagent Control. Peter Stone and Manuela Veloso HTML version The CMUnited-97 Simulator Team. Peter Stone and Manuela Veloso HTML version Conferences, Symposia and Workshops
Task Decomposition and Dynamic Role Assignment for Real-Time Strategic Teamwork. Peter Stone and Manuela Veloso HTML version Communication in Domains with Unreliable, Single-Channel, Low-Bandwidth Communication. Peter Stone and Manuela Veloso HTML version The RoboCup Synthetic Agent Challenge 97. Hiroaki Kitano, Milind Tambe, Peter Stone, Manuela Veloso, Silvia Coradeschi, Eiichi Osawa, Hitoshi Matsubara, Itsuki Noda, and Minoru Asada HTML version Predictive Memory for an Inaccessible Environment. Mike Bowling and Peter Stone, and Manuela Veloso. HTML version Extended version citable as a CMU Tech report: CMU-CS-95-222 Beating a Defender in Robotic Soccer: Memory-Based Learning of a Continuous Function. (extended version) Official NIPS*95 version. Peter Stone and Manuela Veloso. HTML version (of the extended paper) Using Testing to Iteratively Improve Training. Peter Stone and Manuela Veloso. Here are some slides with more detail |
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Links
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RoboSoccer Project Homepage | Computer Science Department | School of Computer Science