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ICML
2000
IEEE
16 years 7 months ago
Convergence Problems of General-Sum Multiagent Reinforcement Learning
Stochastic games are a generalization of MDPs to multiple agents, and can be used as a framework for investigating multiagent learning. Hu and Wellman (1998) recently proposed a m...
Michael H. Bowling
AAMAS
2007
Springer
16 years 15 days ago
Bifurcation Analysis of Reinforcement Learning Agents in the Selten's Horse Game
Abstract. The application of reinforcement learning algorithms to multiagent domains may cause complex non-convergent dynamics. The replicator dynamics, commonly used in evolutiona...
Alessandro Lazaric, Jose Enrique Munoz de Cote, Fa...
ATAL
2005
Springer
15 years 12 months ago
Evaluating the Minority Game strategy in agent role assignments
A team-based competitive environment is a complex multiagent environment, in which agents are required to coordinate with each other not only to enhance their collective behavior,...
Tingting Wang, Jiming Liu
GAMEON
2003
15 years 7 months ago
Multi-Agent Based Modelling: from Social Simulation to Real Time Strategy Games
Simulation has been regarded as the third way to represent social models, alternative to other two symbol systems: the verbal argumentation and the mathematical one. Simulation ca...
Marco Remondino
ESAW
2006
Springer
15 years 10 months ago
Adaptation of Autonomic Electronic Institutions Through Norms and Institutional Agents
Electronic institutions (EIs) have been proposed as a means of regulating open agent societies. EIs define the rules of the game in agent societies by fixing what agents are permit...
Eva Bou, Maite López-Sánchez, Juan A...