Rebekka Olsson Omslandseter

Orcid: 0000-0002-8271-7325

According to our database1, Rebekka Olsson Omslandseter authored at least 10 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
Pioneering approaches for enhancing the speed of hierarchical LA by <i>ordering</i> the actions.
Inf. Sci., November, 2023

The object migration automata: its field, scope, applications, and future research challenges.
Pattern Anal. Appl., August, 2023

Learning automata-based partitioning algorithms for stochastic grouping problems with non-equal partition sizes.
Pattern Anal. Appl., May, 2023

User grouping and power allocation in NOMA systems: a novel semi-supervised reinforcement learning-based solution.
Pattern Anal. Appl., February, 2023

2022
The Hierarchical Discrete Learning Automaton Suitable for Environments with Many Actions and High Accuracy Requirements.
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

Enhancing the Speed of Hierarchical Learning Automata by Ordering the Actions - A Pioneering Approach.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

2021
Object Migration Automata for Non-equal Partitioning Problems with Known Partition Sizes.
Proceedings of the Artificial Intelligence Applications and Innovations, 2021

A Learning-Automata Based Solution for Non-equal Partitioning: Partitions with Common GCD Sizes.
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2021

2020
User Grouping and Power Allocation in NOMA Systems: A Reinforcement Learning-Based Solution.
Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

2018
Field Measurements and Parameter Calibrations of Propagation Model for Digital Audio Broadcasting in Norway.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018


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