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Perspectives on multiagent learning

✍ Scribed by Tuomas Sandholm


Publisher
Elsevier Science
Year
2007
Tongue
English
Weight
135 KB
Volume
171
Category
Article
ISSN
0004-3702

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A dynamic pricing problem is solved by using asymmetric multiagent reinforcement learning in this article. In the problem, there are two competing brokers that sell identical products to customers and compete on the basis of price. We model this dynamic pricing problem as a Markov game and solve it