Learning algorithm for an intelligent decision making system based on multi-agent neurocognitive architectures.
Zalimhan NagoevInna PshenokovaOlga NagoevaZaurbek SundukovPublished in: Cogn. Syst. Res. (2021)
Keyphrases
- multi agent
- learning algorithm
- reinforcement learning
- machine learning algorithms
- cooperative
- training data
- multi agent systems
- single agent
- learning process
- active learning
- training examples
- software agents
- machine learning
- learning agent
- learning scheme
- learning rate
- generalization ability
- intelligent agents
- training samples
- case study
- cooperative agents
- team formation
- supervised learning
- coalition formation
- sample complexity
- reinforcement learning agents
- agent behavior
- multi agent planning
- learning problems
- autonomous agents
- dynamic environments
- training set
- support vector