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ATAL
2011
Springer
14 years 4 months ago
Learning action models for multi-agent planning
In multi-agent planning environments, action models for each agent must be given as input. However, creating such action models by hand is difficult and time-consuming, because i...
Hankz Hankui Zhuo, Hector Muñoz-Avila, Qian...
ATAL
2009
Springer
15 years 10 months ago
Integrating organizational control into multi-agent learning
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
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ATAL
2005
Springer
15 years 9 months ago
Controlling teams of uninhabited air vehicles
We describe a Multi-Agent System (MAS) for controlling teams of uninhabited air vehicles (UAVs) in the context of a larger system that has been used to evaluate potential concepts...
Jeremy W. Baxter, Graham S. Horn
MMAS
2004
Springer
15 years 9 months ago
Multiagent-Based Demand Bus Simulation for Shanghai
Demand Bus System, a new public transportation system, is expected to be a convenient service for special transportation demands to solve more and more serious traffic problems con...
Zhiqiang Liu, Toru Ishida, Huanye Sheng
GECCO
2005
Springer
166views Optimization» more  GECCO 2005»
15 years 9 months ago
The emulation of social institutions as a method of coevolution
This paper offers a novel approach to coevolution based on the sociological theory of symbolic interactionism. It provides a multi-agent computational model along with experimenta...
Deborah Vakas Duong, John J. Grefenstette