Defining and using ideal teammate and opponent agent models: a case study in robotic soccer
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[1] Edmund H. Durfee,et al. A decision-theoretic approach to coordinating multiagent interactions , 1991, IJCAI 1991.
[2] Edmund H. Durfee,et al. Blissful Ignorance: Knowing Just Enough to Coordinate Well , 1995, ICMAS.
[3] Edmund H. Durfee,et al. Recursive Agent Modeling Using Limited Rationality , 1995, ICMAS.
[4] Milind Tambe. Recursive Agent and Agent-Group Tracking in a Real-Time Dynamic Environment , 1995, ICMAS.
[5] Edmund H. Durfee,et al. A Rigorous, Operational Formalization of Recursive Modeling , 1995, ICMAS.
[6] Edmund H. Durfee,et al. Deciding When to Commit to Action During Observation-Based Coordination , 1995, ICMAS.
[7] Xuemei Wang. Planning While Learning Operators , 1996, AIPS.
[8] Hiroaki Kitano,et al. The RoboCup Synthetic Agent Challenge 97 , 1997, IJCAI.
[9] Peter Stone,et al. Layered Learning in Multiagent Systems , 1997, AAAI/IAAI.
[10] Ian Frank,et al. Soccer Server: A Tool for Research on Multiagent Systems , 1998, Appl. Artif. Intell..
[11] Manuela M. Veloso,et al. The CMUnited-98 Champion Simulator Team , 1998, RoboCup.
[12] 浅田 稔,et al. RoboCup-98 : Robot Soccer World Cup II , 1999 .
[13] Manuela M. Veloso,et al. The CMUnited-99 Champion Simulator Team , 2000, AI Mag..
[14] Peter Stone,et al. Layered learning in multiagent systems - a winning approach to robotic soccer , 2000, Intelligent robotics and autonomous agents.
[15] D. O A L O N S O,et al. Learning in multi-agent systems , 2002 .