Replicator Dynamics for Multi-agent Learning: An Orthogonal Approach


Today’s society is largely connected and many real life applications lend themselves to be modeled as multi-agent systems. Although such systems as well as their models are desirable, e.g. for reasons of stability or parallelism, they are highly complex and therefore difficult to understand or predict. Multi-agent learning has been acknowledged to be… (More)
DOI: 10.1007/978-3-642-11814-2_3


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