Browsing Scientific Publications in Information and Communication Technology by Author "Omslandseter, Rebekka Olsson"
Now showing items 1-7 of 7
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The Hierarchical Discrete Learning Automaton Suitable for Environments with Many Actions and High Accuracy Requirements
Omslandseter, Rebekka Olsson; Jiao, Lei; Zhang, Xuan; Yazidi, Anis; Oommen, John (Peer reviewed; Journal article, 2022)Since its early beginning, the paradigm of Learning Automata (LA), has attracted much interest. Over the last decades, new concepts and various improvements have been introduced to increase the LA’s speed and accuracy, ... -
The Hierarchical Discrete Pursuit Learning Automaton: A Novel Scheme With Fast Convergence and Epsilon-Optimality
Omslandseter, Rebekka Olsson; Jiao, Lei; Zhang, Xuan; Yazidi, Anis; Oommen, John (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, ... -
A Learning-Automata Based Solution for Non-equal Partitioning: Partitions with Common GCD Sizes
Omslandseter, Rebekka Olsson; Jiao, Lei; Oommen, John (Lecture Notes in Computer Science;12799, Peer reviewed; Journal article, 2021)The Object Migration Automata (OMA) has been used as a powerful tool to resolve real-life partitioning problems in random Environments. The virgin OMA has also been enhanced by incorporating the latest strategies in Learning ... -
Object Migration Automata for Non-equal Partitioning Problems with Known Partition Sizes
Omslandseter, Rebekka Olsson; Jiao, Lei; Oommen, John (IFIP Advances in Information and Communication Technology;627, Peer reviewed; Journal article, 2021)Solving partitioning problems in random environments is a classic and challenging task, and has numerous applications. The existing Object Migration Automaton (OMA) and its proposed enhancements, which include the Pursuit ... -
On the Theory and Applications of Hierarchical Learning Automata and Object Migration Automata
Omslandseter, Rebekka Olsson (Doctoral dissertations at University of Agder; no. 444, Doctoral thesis, 2023)The paradigm of Artificial Intelligence (AI) and the sub-group of Machine Learning (ML) have attracted exponential interest in our society in recent years. The domain of ML contains numerous methods, and it is desirable ... -
Pioneering approaches for enhancing the speed of hierarchical LA by ordering the actions
Omslandseter, Rebekka Olsson; Lei, Jiao; Oommen, John (Peer reviewed; Journal article, 2023)Fixed Structure Stocastic Automata (FSSA), Variable Structure Learning Automata (VSSA), and their discretized versions have been significantly improved by utilizing inexpensive estimates of the actions' reward probabilities. ... -
User Grouping and Power Allocation in NOMA Systems : A Reinforcement Learning-Based Solution
Omslandseter, Rebekka Olsson; Lei, Jiao; Liu, Yuanwei; Oommen, John (Lecture Notes in Computer Science; vol. 12144, Chapter; Peer reviewed, 2020)