Using decision tree confidence factors for multi-agent control

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Using decision tree confidence factors for multi-agent control

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International Conference on Autonomous Agents archive
Proceedings of the second international conference on Autonomous agents table of contents

Minneapolis, Minnesota, United States

Pages: 86 - 91

Year of Publication: 1998

ISBN:0-89791-983-1

Authors

Peter Stone	Computer Science Department, Carnegie Mellon University, Pittsburgh, PA
Manuela Veloso	Computer Science Department, Carnegie Mellon University, Pittsburgh, PA

Sponsors

IEEE : Institute of Electrical and Electronics Engineers
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 6, Downloads (12 Months): 39, Citation Count: 4

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Minoru Asada, Eiji Uchibe, Shoichi Noda, Sukoya Tawaratsumida, and Koh Hosoda. Coordination of multiple behaviors acquired by vision-based reinforcement learning, In Proc, of IEEE/RSJ/GI International Conference on Intelligent Robots and Systems 1994 (IROS 19d), pages 917-924, 1994.
	2	Mike Bowling, Peter Stone, and Manuela Veloso. Predictive memory for an inaccessible environment. In Pro. ceedings of the {ROS-96 Workshop on RoboCup, pages 28-34, Osaka, Japan, November 1996.
	3	Andrew Garland and Richard Alterman. Multiagent learning through collective memory. In Adaptation, Co. evolution and Learning in Multiagent Systems: Papers from the 1996 AAA{ Spring Symposium, pages 33-38, Menlo Park,CA, March 1996. AAAI Press. AAAI Technical Report SS-96-01.
	4	Jong-Hwan Kim, editor. Proceedings of the Micro-Robot World Cup Soccer Tournament, Taejon, Korea, November 1996.
	5	ttiroaki Kitano, Yasuo Kuniyoshi, Itsuki Noda, Minoru Asada, Hitoshi Matsubara, and Eiichi Osawa. RoboCup: A challenge problem for AI. Air Magazine, 18(1):73-85, Spring 1997.
	6	Hitoshi Matsubara, Itsuld Node, and Kazuo Hiraki. Learning of cooperative actions in multi-agent systems: a case study of pass play in soccer. In Adaptation, Co. evolution and Learning in Multiagent Systems: Papers from the 1996 AAAir Spring Symposium, pages 63--67, Menlo Park, CA, March 1996. AAAI Press. AAAI Technical Report SS-96-01.
	7	Itstttd Nods and Hitoshi Matsubara. Soccer server and researches on multi-agent systems. In Proceedings of the IROS-96 Workshop on RoboCup, November 1996.
	8	J. Ross Quinlan, C4.5: programs for machine learning, Morgan Kaufmann Publishers Inc., San Francisco, CA, 1993
	9	Michael K. Sabots. Dynasim user guide.
	10	Michael K. Sahota, Alan K. Mackworth, Rod A. Barman, and Stewart J. Kingdom Real-time control of soccer-playing robots using off-board vision: the dynamite testbed. In IEEE International Conference on Systems, Man, and Cybernetics, pages 3690-3663, 1995,
	11	Randy Sargent, Bill Bailey, Carl Witty, and Anne Wright. Dynamic object capture using fast vision tracking. Air Magazine, 18(1):65-72, Spring 1997.
	12	Peter Stone and Manuela Veloso. Beating a defender in robotic soccer: Memory-based learning of a continuous function. In David S. Touretzky, Michael C. Mozer, and Michael E. Hasselmo, editors, Advances in Neu. ral irnformation Processing Systems 8, pages 896-902, Cambridge, MA, 1996. MIT Press.
	13	Peter Stone and Manuela Veloso. A layered approach to learning client behaviors in the RoboCup soccer server. Applied Artificial Intelligence, 12, 1998. In Press.
	14	Peter Stone , Manuela Veloso, Towards collaborative and adversarial learning:: a case study in robotic soccer, International Journal of Human-Computer Studies, v.48 n.1, p.83-104, Jan., 1998 [doi>10.1006/ijhc.1997.0162]
	15	Manuela M. Veloso , Peter Stone , Kwun Han , Sorin Achim, The CMUnited-97 Small Robot Team, RoboCup-97: Robot Soccer World Cup I, p.242-256, January 1998

CITED BY 4

	Peter Stone , Manuela Veloso, Team-partitioned, opaque-transition reinforcement learning, Proceedings of the third annual conference on Autonomous Agents, p.206-212, April 1999, Seattle, Washington, United States
	Taylor Raines , Milind Tambe , Stacy Marsella, Automated assistants to aid humans in understanding team behaviors, Proceedings of the fourth international conference on Autonomous agents, p.419-426, June 03-07, 2000, Barcelona, Spain
	Ranjit Nair , Milind Tambe , Stacy Marsella , Taylor Raines, Automated Assistants for Analyzing Team Behaviors, Autonomous Agents and Multi-Agent Systems, v.8 n.1, p.69-111, January 2004
	Geoff Nitschke, Emergence of Cooperation: State of the Art, Artificial Life, v.11 n.3, p.367-396, September 2005