453 search results - page 21 / 91 » Learning from actions not taken: a multiagent learning algor... |
GECCO
2010
Springer
15 years 2 months ago
2010
Springer
This study proposes a simple computational model of evolutionary learning in organizations informed by genetic algorithms. Agents who interact only with neighboring partners seek ...
105
Voted
CORR
2010
Springer
14 years 6 months ago
2010
Springer
This report outlines the use of a relational representation in a Multi-Agent domain to model the behaviour of the whole system. A desired property in this systems is the ability of...
TSMC
2008
14 years 9 months ago
2008
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is tha...
ATAL
2009
Springer
15 years 4 months ago
2009
Springer
The most important and interesting of the computing challenges we are facing are those that involve the problems and opportunities afforded by massive decentralization and disinte...
EWCBR
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. In both research fields, Case-Based Reasoning and Reinforcement Learning, the system under consideration gains its expertise from experience. Utilizing this fundamental c...