AutoRWN: automatic construction and training of random weight networks using competitive swarm of agents.
Mohammed EshtayHossam FarisAli Asghar HeidariAla' M. Al-ZoubiIbrahim AljarahPublished in: Neural Comput. Appl. (2021)
Keyphrases
- automatic construction
- multi agent systems
- cooperative
- autonomous agents
- multi agent
- network topologies
- social networks
- multiagent systems
- multiple agents
- coalition formation
- particle swarm optimization
- training samples
- training examples
- intelligent agents
- recurrent networks
- decentralized control
- interacting agents
- complex networks
- software agents
- training set
- agent architecture
- decision making
- agent model
- search space
- artificial agents
- learning agents
- dynamic environments
- collective behavior
- mobile agents
- scale free networks
- supervised learning
- learning algorithm
- decision theoretic
- game theoretic
- training phase
- training algorithm
- incomplete information