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Generalized multiagent learning with performance bound

โœ Scribed by Bikramjit Banerjee; Jing Peng

Publisher
Springer US
Year
2007
Tongue
English
Weight
930 KB
Volume
15
Category
Article
ISSN
1387-2532

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## Abstract One method of designing a multiagent system is called multiagent reinforcement learning. In multiagent reinforcement learning, an agent also observes the other agents as part of the environment. As a result, as the number of agents increases, the state space increases exponentially (cur