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CIG
2005
IEEE
14 years 2 months ago
Adapting Reinforcement Learning for Computer Games: Using Group Utility Functions
AbstractGroup utility functions are an extension of the common team utility function for providing multiple agents with a common reinforcement learning signal for learning cooperat...
Jay Bradley, Gillian Hayes
ICML
2008
IEEE
14 years 9 months ago
Discriminative parameter learning for Bayesian networks
Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: ge...
Jiang Su, Harry Zhang, Charles X. Ling, Stan Matwi...
JAIR
2008
119views more  JAIR 2008»
13 years 9 months ago
A Multiagent Reinforcement Learning Algorithm with Non-linear Dynamics
Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents' decisions. Due to the complexity of the problem, the majority of the previo...
Sherief Abdallah, Victor R. Lesser
ICCV
2007
IEEE
14 years 11 months ago
Game-Theoretic Multiple Target Tracking
Video-based multiple target tracking (MTT) is a challenging task when similar targets are present in close vicinity. Because their visual observations are mixed and difficult to s...
Ming Yang, Ting Yu, Ying Wu
INFOCOM
2006
IEEE
14 years 3 months ago
Bottleneck Routing Games in Communication Networks
—We consider routing games where the performance of each user is dictated by the worst (bottleneck) element it employs. We are given a network, finitely many (selfish) users, eac...
Ron Banner, Ariel Orda