Speeding up learning automata based multi agent systems using the concepts of stigmergy and entropy

@article{Masoumi2011SpeedingUL,
  title={Speeding up learning automata based multi agent systems using the concepts of stigmergy and entropy},
  author={Behrooz Masoumi and Mohammad Reza Meybodi},
  journal={Expert Syst. Appl.},
  year={2011},
  volume={38},
  pages={8105-8118}
}
Learning automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms and are able to control the stochastic games. In this paper, the concepts of stigmergy and entropy are imported into learning automata based multi-agent systems with the purpose of providing a simple framework for interaction and coordination in multi-agent systems and speeding up the learning process. The multi-agent system considered in this paper is designed to find… CONTINUE READING
Highly Cited
This paper has 39 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 14 extracted citations

Adaptive learning algorithm of self-organizing teams

Expert Syst. Appl. • 2014
View 4 Excerpts
Highly Influenced

Incorporation of ordinal optimization into learning automata for high learning efficiency

2015 IEEE International Conference on Automation Science and Engineering (CASE) • 2015
View 1 Excerpt

Last-Position Elimination-Based Learning Automata

IEEE Transactions on Cybernetics • 2014
View 1 Excerpt

References

Publications referenced by this paper.
Showing 1-10 of 50 references

Nash Q-Learning for General-Sum Stochastic Games

Journal of Machine Learning Research • 2003
View 6 Excerpts
Highly Influenced

A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence

A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence • 2009
View 4 Excerpts
Highly Influenced

Speeding up l ergy and entropy

A. Noẃe, K. Verbeeck, M. Peeters
Expert Systems with Applications • 2011

Utilization of networks of learning automata for solving decision problems in decentralized multiagent systems

B. Masoumi, M. R. Meybodi
In: 17th Iranian conference on electrical engineering (ICEE2009). Tehran, Iran. • 2009
View 1 Excerpt

A Comprehensive Survey of Multiagent Reinforcement Learning

IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) • 2008
View 1 Excerpt

Similar Papers

Loading similar papers…