Varieties of learning automata: an overview

By Thathachar M.A.L., P. S. Sastry. IEEE Trans. Syst. Man Cybern. Part B, 2002

424 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/ab3940e97626da3b696eaa1bb7b8af7e321e63a7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Karl Tuyls
2. Daan Bloembergen
3. Daniel Hennes
4. Michael Kaisers
5. Ann Nowé
6. Julian Reiss
7. Pablo Hernandez-Leal
8. Marc Lanctot

In Computer Networks and Communications

1. Ann Nowé
2. Karl Tuyls

Citations in the corpus

• Evolutionary Dynamics of Multi-Agent Learning: A Survey (2015, background): “Cross learning is closely related to finite action-set learning automata (Narendra & Thathachar, 1974; Thathachar & Sastry, 2002).”
• Evolutionary game theory and multi-agent reinforcement learning (2005, background): “Since then there has been a lot of development in the field and a number of survey papers and books on this topic have been published: to cite a few [ Tha02 , Nar89, Nar74].”