Field Measurements and Parameter Calibrations of Propagation Model for Digital Audio Broadcasting in Norway. - Rebekka Olsson Omslandseter; Lei Jiao 001; Magne Arild Haglund (VTC Fall, 2018)

User Grouping and Power Allocation in NOMA Systems: A Reinforcement Learning-Based Solution. - Rebekka Olsson Omslandseter; Lei Jiao 001; Yuanwei Liu; B. John Oommen (IEA/AIE, 2020)

A Learning-Automata Based Solution for Non-equal Partitioning: Partitions with Common GCD Sizes. - Rebekka Olsson Omslandseter; Lei Jiao 001; B. John Oommen (IEA/AIE (2), 2021)

Object Migration Automata for Non-equal Partitioning Problems with Known Partition Sizes. - Rebekka Olsson Omslandseter; Lei Jiao 001; B. John Oommen (AIAI, 2021)

Enhancing the Speed of Hierarchical Learning Automata by Ordering the Actions - A Pioneering Approach. - Rebekka Olsson Omslandseter; Lei Jiao 001; B. John Oommen (AI, 2022)

The Hierarchical Discrete Learning Automaton Suitable for Environments with Many Actions and High Accuracy Requirements. - Rebekka Olsson Omslandseter; Lei Jiao 001; Xuan Zhang 007; Anis Yazidi; B. John Oommen (AI, 2022)

User grouping and power allocation in NOMA systems: a novel semi-supervised reinforcement learning-based solution. - Rebekka Olsson Omslandseter; Lei Jiao 001; Yuanwei Liu; B. John Oommen (Pattern Anal. Appl., 2023)

Learning automata-based partitioning algorithms for stochastic grouping problems with non-equal partition sizes. - B. John Oommen; Rebekka Olsson Omslandseter; Lei Jiao 001 (Pattern Anal. Appl., 2023)

The object migration automata: its field, scope, applications, and future research challenges. - B. John Oommen; Rebekka Olsson Omslandseter; Lei Jiao 001 (Pattern Anal. Appl., 2023)

Pioneering approaches for enhancing the speed of hierarchical LA by ordering the actions. - Rebekka Olsson Omslandseter; Lei Jiao 001; B. John Oommen (Inf. Sci., 2023)

The Hierarchical Discrete Pursuit Learning Automaton: A Novel Scheme With Fast Convergence and Epsilon-Optimality. - Rebekka Olsson Omslandseter; Lei Jiao 001; Xuan Zhang 007; Anis Yazidi; B. John Oommen (IEEE Trans. Neural Networks Learn. Syst., 2024)

The Tsetlin Machine Goes Deep: Logical Learning and Reasoning With Graphs. - Ole-Christoffer Granmo; Youmna Abdelwahab; Per-Arne Andersen; Paul F. A. Clarke; Kunal Ganesh Dumbre; Ylva Grønningsæter; Vojtech Halenka; Runar Helin; Lei Jiao 001; Ahmed Khalid; Rebekka Olsson Omslandseter; Rupsa Saha; et al. (CoRR, 2025)