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Learning automata

Learning automata is one type of Machine Learning algorithm studied since 1970s. Compared to other learning scheme, a branch of the theory of… 
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Related topics

Related topics

7 relations
Computable functionEvolutionary algorithmGame theoryMarkov decision process

Broader (2)

Control theoryMachine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
An adaptive trust-Stackelberg game model for security and energy efficiency in dynamic cognitive radio networks
2016
2016
Mils-Cloud: A Sensor-Cloud-Based Architecture for the Integration of Military Tri-Services Operations and Decision Making
Spatially distributed sensor nodes in wireless sensor networks (WSNs) can be used to monitor large unmanned areas. However, there… 
2013
2013
An energy-efficient topology construction algorithm for wireless sensor networks
2012
2012
A distributed resource discovery algorithm for P2P grids
2011
2011
LLACA: An adaptive localized clustering algorithm for wireless ad hoc networks
2011
2011
An innovative combination of particle swarm optimization, learning automaton and great deluge algorithms for dynamic environments
Dynamic optimization in which global optima and local optima change over time is always a hot research topic. It has been shown… 
2009
2009
A learning-based approach for distributed multi-radio channel allocation in wireless mesh networks
We consider the distributed channel allocation problem in IEEE 802.11-based multi-radio wireless mesh networks. We develop a new… 
Highly Cited
2006
Highly Cited
2006
International Journal of UNCERTAINTY , FUZZINESS AND KNOWLEDGE-BASED SYSTEMS Volume Utilizing Distributed Learning Automata to Solve Stochastic Shortest Path Problems
In this paper, we first introduce a network of learning automata, which we call it as distributed learning automata and then… 
2006
2006
A novel multiple-controller incorporating a neural network based generalized learning model
Abstract A new adaptive multiple-controller is proposed incorporating a neural network based Generalized Learning Model (GLM… 
2004
2004
Adaptive stochastic iterative rate selection for wireless channels
A stochastic algorithm for channel adaptive rate selection (modulation and coding scheme or MCS) is proposed. The algorithm… 
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