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Solving Two-Person Zero-Sum Stochastic Games With Incomplete Information Using Learning Automata With Artificial Barriers

IEEE transaction on neural networks and learning systems, 2023-02, Vol.34 (2), p.650-661

2023

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Supramolecular Structure of the Casein Micelle

Journal of dairy science, 2008-05, Vol.91 (5), p.1709-1721

2008

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The Hierarchical Discrete Pursuit Learning Automaton: A Novel Scheme With Fast Convergence and Epsilon-Optimality

IEEE transaction on neural networks and learning systems, 2024-06, Vol.35 (6), p.8278-8292

2024

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The Hierarchical Continuous Pursuit Learning Automation: A Novel Scheme for Environments With Large Numbers of Actions

IEEE transaction on neural networks and learning systems, 2020-02, Vol.31 (2), p.512-526

2020

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User grouping and power allocation in NOMA systems: a novel semi-supervised reinforcement learning-based solution

Pattern analysis and applications : PAA, 2023-02, Vol.26 (1), p.1-17

2023

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Logistic Neural Networks: Their chaotic and pattern recognition properties

Neurocomputing (Amsterdam), 2014-02, Vol.125, p.184-194

2014

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Achieving Fair Load Balancing by Invoking a Learning Automata-Based Two-Time-Scale Separation Paradigm

IEEE transaction on neural networks and learning systems, 2021-08, Vol.32 (8), p.3444-3457

2021

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Adaptive learning with artificial barriers yielding Nash equilibria in general games

Knowledge engineering review, 2023-11, Vol.38, Article e10

2023

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A Conclusive Analysis of the Finite-Time Behavior of the Discretized Pursuit Learning Automaton

IEEE transaction on neural networks and learning systems, 2020-01, Vol.31 (1), p.284-294

2020

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A novel technique for stochastic root-finding: Enhancing the search with adaptive d-ary search

Information sciences, 2017-07, Vol.393, p.108-129

2017

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Learning automata-based partitioning algorithms for stochastic grouping problems with non-equal partition sizes

Pattern analysis and applications : PAA, 2023-05, Vol.26 (2), p.751-772

2023

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The object migration automata: its field, scope, applications, and future research challenges

Pattern analysis and applications : PAA, 2023-08, Vol.26 (3), p.917-928

2023

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Novel AI Strategies for Multi-Player Games at Intermediate Board States

Current Approaches in Applied Artificial Intelligence, p.33-42

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A novel abstraction for swarm intelligence: particle field optimization

Autonomous agents and multi-agent systems, 2017-03, Vol.31 (2), p.362-385

2017

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The fundamental theory of optimal “Anti-Bayesian” parametric pattern classification using order statistics criteria

Pattern recognition, 2013-01, Vol.46 (1), p.376-388

2013

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On enhancing the deadlock-preventing object migration automaton using the pursuit paradigm

Pattern analysis and applications : PAA, 2020-05, Vol.23 (2), p.509-526

2020

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On Invoking Transitivity to Enhance the Pursuit-Oriented Object Migration Automata

IEEE access, 2018-01, Vol.6, p.21668-21681

2018

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“Anti-Bayesian” parametric pattern classification using order statistics criteria for some members of the exponential family

Pattern recognition, 2014-01, Vol.47 (1), p.40-55

2014

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Order statistics-based parametric classification for multi-dimensional distributions

Pattern recognition, 2013-12, Vol.46 (12), p.3472-3482

2013

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A Novel Strategy for Solving the Stochastic Point Location Problem Using a Hierarchical Searching Scheme

IEEE transactions on cybernetics, 2014-11, Vol.44 (11), p.2202-2220

2014

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Novel threat-based AI strategies that incorporate adaptive data structures for multi-player board games

Applied intelligence (Dordrecht, Netherlands), 2018-08, Vol.48 (8), p.1893-1911

2018

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Nonparametric “anti-Bayesian” quantile-based pattern classification

Pattern analysis and applications : PAA, 2021-02, Vol.24 (1), p.75-87

2021

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On Solving the Problem of Identifying Unreliable Sensors Without a Knowledge of the Ground Truth: The Case of Stochastic Environments

IEEE transactions on cybernetics, 2017-07, Vol.47 (7), p.1604-1617

2017

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Higher-Fidelity Frugal and Accurate Quantile Estimation Using a Novel Incremental Discretized Paradigm

IEEE access, 2018-01, Vol.6, p.24362-24374

2018

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A Learning Automaton-Based Scheme for Scheduling Domestic Shiftable Loads in Smart Grids

IEEE access, 2018-01, Vol.6, p.5348-5361

2018

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Solving Two-Person Zero-Sum Stochastic Games With Incomplete Information Using Learning Automata With Artificial Barriers

Supramolecular Structure of the Casein Micelle

The Hierarchical Discrete Pursuit Learning Automaton: A Novel Scheme With Fast Convergence and Epsilon-Optimality

The Hierarchical Continuous Pursuit Learning Automation: A Novel Scheme for Environments With Large Numbers of Actions

User grouping and power allocation in NOMA systems: a novel semi-supervised reinforcement learning-based solution

Logistic Neural Networks: Their chaotic and pattern recognition properties

Achieving Fair Load Balancing by Invoking a Learning Automata-Based Two-Time-Scale Separation Paradigm

Adaptive learning with artificial barriers yielding Nash equilibria in general games

A Conclusive Analysis of the Finite-Time Behavior of the Discretized Pursuit Learning Automaton

A novel technique for stochastic root-finding: Enhancing the search with adaptive d-ary search

Learning automata-based partitioning algorithms for stochastic grouping problems with non-equal partition sizes

The object migration automata: its field, scope, applications, and future research challenges

Novel AI Strategies for Multi-Player Games at Intermediate Board States

A novel abstraction for swarm intelligence: particle field optimization

The fundamental theory of optimal “Anti-Bayesian” parametric pattern classification using order statistics criteria

On enhancing the deadlock-preventing object migration automaton using the pursuit paradigm

On Invoking Transitivity to Enhance the Pursuit-Oriented Object Migration Automata

“Anti-Bayesian” parametric pattern classification using order statistics criteria for some members of the exponential family

Order statistics-based parametric classification for multi-dimensional distributions

A Novel Strategy for Solving the Stochastic Point Location Problem Using a Hierarchical Searching Scheme

Novel threat-based AI strategies that incorporate adaptive data structures for multi-player board games

Nonparametric “anti-Bayesian” quantile-based pattern classification

On Solving the Problem of Identifying Unreliable Sensors Without a Knowledge of the Ground Truth: The Case of Stochastic Environments

Higher-Fidelity Frugal and Accurate Quantile Estimation Using a Novel Incremental Discretized Paradigm

A Learning Automaton-Based Scheme for Scheduling Domestic Shiftable Loads in Smart Grids

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