Browsing AURA by Journals "IEEE Transactions on Neural Networks and Learning Systems"
Now showing items 1-6 of 6
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Achieving Fair Load Balancing by Invoking a Learning Automata-based Two Time Scale Separation Paradigm
(Journal article; Peer reviewed, 2020)In this article, we consider the problem of load balancing (LB), but, unlike the approaches that have been proposed earlier, we attempt to resolve the problem in a fair manner (or rather, it would probably be more appropriate ... -
Anam-Net: Anamorphic Depth Embedding-Based Lightweight CNN for Segmentation of Anomalies in COVID-19 Chest CT Images
(Journal article; Peer reviewed, 2021) -
A Conclusive Analysis of the Finite-Time Behavior of the Discretized Pursuit Learning Automaton
(Journal article; Peer reviewed, 2019)This paper deals with the finite-time analysis (FTA) of learning automata (LA), which is a topic for which very little work has been reported in the literature. This is as opposed to the asymptotic steady-state analysis ... -
The Hierarchical Continuous Pursuit Learning Automation : A Novel Scheme for Environments With Large Numbers of Actions
(Journal article; Peer reviewed, 2019) -
The Hierarchical Discrete Pursuit Learning Automaton: A Novel Scheme With Fast Convergence and Epsilon-Optimality
(Peer reviewed; Journal article, 2022)Since the early 1960s, the paradigm of learning automata (LA) has experienced abundant interest. Arguably, it has also served as the foundation for the phenomenon and field of reinforcement learning (RL). Over the decades, ... -
Solving Two-Person Zero-Sum Stochastic Games With Incomplete Information Using Learning Automata With Artificial Barriers
(Journal article; Peer reviewed, 2021)Learning automata (LA) with artificially absorbing barriers was a completely new horizon of research in the 1980s (Oommen, 1986). These new machines yielded properties that were previously unknown. More recently, absorbing ...