Tuyls, K., Nowe, A., Lenaerts, T., & Manderick, B. (2005). An evolutionary game theoretic perspective on learning in mult-agent systems. In Information, Interaction, and Agency (pp. 133-166). Springer Netherlands. https://doi.org/10.1007/1-4020-4094-6_5

@inbook{1bb7e274996249d0b6e59bf631a468d3,
title = "An evolutionary game theoretic perspective on learning in mult-agent systems",
abstract = "In this paper we revise Reinforcement Learning and adaptiveness in Multi-Agent Systems from an Evolutionary Game Theoretic perspective. More precisely we show there is a triangular relation between the fields of Multi-Agent Systems, Reinforcement Learning and Evolutionary Game Theory. We illustrate how these new insights can contribute to a better understanding of learning in MAS and to new improved learning algorithms. All three fields are introduced in a self-contained manner. Each relation is discussed in detail with the necessary background information to understand it, along with major references to relevant work.",
author = "Karl Tuyls and Ann Nowe and Tom Lenaerts and Bernard Manderick",
year = "2005",
month = dec,
day = "1",
doi = "10.1007/1-4020-4094-6_5",
language = "English",
isbn = "1402036000",
pages = "133--166",
booktitle = "Information, Interaction, and Agency",
publisher = "Springer Netherlands",
address = "Netherlands",
}