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Coordinated learning in multiagent MDPs with infinite state-space

✍ Scribed by Francisco S. Melo; M. Isabel Ribeiro


Publisher
Springer US
Year
2009
Tongue
English
Weight
659 KB
Volume
21
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