publication . Preprint . Conference object . Other literature type . 2018

Aspiration-based Perturbed Learning Automata

Chasparis, Georgios;
Open Access English
  • Published: 01 Mar 2018
Comment: arXiv admin note: text overlap with arXiv:1709.05859, arXiv:1702.08334
arXiv: Computer Science::Computer Science and Game Theory
ACM Computing Classification System: TheoryofComputation_GENERAL
free text keywords: Learning automata, distributed optimization, coordination games, Computer Science - Computer Science and Game Theory
Funded by
EC| RePhrase
REfactoring Parallel Heterogeneous Resource-Aware Applications - a Software Engineering Approach
  • Funder: European Commission (EC)
  • Project Code: 644235
  • Funding stream: H2020 | RIA
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Conference object . 2018
Provider: ZENODO
Other literature type . 2018
Provider: Datacite
Other literature type . 2018
Provider: Datacite
17 references, page 1 of 2

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[11] J. R. Marden, H. P. Young, G. Arslan, and J. S. Shamma, “Payoff based dynamics for multi-player weakly acyclic games,” SIAM J. Control Optim., vol. 48, no. 1, pp. 373-396, 2009.

[12] J. R. Marden, H. P. Young, and L. Pao, “Achieving Pareto optimality through distributed learning,” SIAM J. Control Optim., vol. 52, no. 5, pp. 2753-2770, 2014.

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[15] H. P. Young, Strategic Learning and Its Limits. New York, NY: Oxford University Press, 2004.

17 references, page 1 of 2
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