Theoretical advantages of lenient learners: An evolutionary game theoretic perspective

Liviu Panait*, Karl Tuyls, Sean Luke

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
Pages (from-to)423-457
Number of pages35
JournalJournal of Machine Learning Research
Volume9
Publication statusPublished - Mar 2008

Keywords

  • multiagent learning
  • reinforcement learning
  • cooperative coevolution
  • evolutionary game theory
  • formal models
  • visualization
  • basins of attraction

Cite this

@article{36ac579b10dc4371bcc8dc8c4a6b3555,
title = "Theoretical advantages of lenient learners: An evolutionary game theoretic perspective",
keywords = "multiagent learning, reinforcement learning, cooperative coevolution, evolutionary game theory, formal models, visualization, basins of attraction",
author = "Liviu Panait and Karl Tuyls and Sean Luke",
year = "2008",
month = "3",
language = "English",
volume = "9",
pages = "423--457",
journal = "Journal of Machine Learning Research",
issn = "1532-4435",
publisher = "Microtome Publishing",

}

Theoretical advantages of lenient learners : An evolutionary game theoretic perspective. / Panait, Liviu; Tuyls, Karl; Luke, Sean.

In: Journal of Machine Learning Research, Vol. 9, 03.2008, p. 423-457.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Theoretical advantages of lenient learners

T2 - An evolutionary game theoretic perspective

AU - Panait, Liviu

AU - Tuyls, Karl

AU - Luke, Sean

PY - 2008/3

Y1 - 2008/3

KW - multiagent learning

KW - reinforcement learning

KW - cooperative coevolution

KW - evolutionary game theory

KW - formal models

KW - visualization

KW - basins of attraction

M3 - Article

VL - 9

SP - 423

EP - 457

JO - Journal of Machine Learning Research

JF - Journal of Machine Learning Research

SN - 1532-4435

ER -