Output details
11 - Computer Science and Informatics
The University of West London
Output title
Achieving Efficient and Optimal Joint Action in Distributed Cognitive Radio Networks Using Payoff Propagation
Type
E - Conference contribution
Name of conference/published proceedings
Communications (ICC) IEEE International Conference
Volume number
-
Issue number
-
First page of article
1
ISSN of proceedings
-
Year of publication
2010
URL
-
Number of additional authors
2
Additional information
<12> This paper extends the payoff propagation mechanism and looks at the stability of this multi-agent approach. This work was further reported in the PhD thesis of Dr Kok Lim Yau (http://ecs.victoria.ac.nz/Main/GradKok-LimYau) and in several technical reports e.g. Kok-Lim Alvin Yau, Peter Komisarczuk, and Paul D. Teal, "Enhancing Network Performance in Distributed Cognitive Radio Networks using Single-Agent and Multi-Agent Reinforcement Learning," ECSTR10-04 and also reports ECSTR10-01 and ECTR10-03.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-