Omslandseter, Rebekka Olsson; Lei, Jiao; Oommen, John (2023). Pioneering approaches for enhancing the speed of hierarchical LA by ordering the actions. Information Sciences. ISSN: 0020-0255. 647s 1 - 17. doi:10.1016/j.ins.2023.119487.
Oommen, John; Omslandseter, Rebekka Olsson; Lei, Jiao (2023). The object migration automata: its field, scope, applications, and future research challenges. Pattern Analysis and Applications. ISSN: 1433-7541. 26s 917 - 928. doi:10.1007/s10044-023-01163-x.
Omslandseter, Rebekka Olsson; Jiao, Lei; Oommen, John (2022). Enhancing the Speed of Hierarchical Learning Automata by Ordering the Actions - A Pioneering Approach. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. 13728s 775 - 788. doi:10.1007/978-3-031-22695-3_54.
Omslandseter, Rebekka Olsson; Jiao, Lei; Zhang, Xuan; Yazidi, Anis; Oommen, John (2022). The Hierarchical Discrete Learning Automaton Suitable for Environments with Many Actions and High Accuracy Requirements. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. 13151s 507 - 518. doi:10.1007/978-3-030-97546-3_41.
Omslandseter, Rebekka Olsson; Lei, Jiao; Liu, Yuanwei; Oommen, John (2022). User grouping and power allocation in NOMA systems: a novel semi-supervised reinforcement learning-based solution. Pattern Analysis and Applications. ISSN: 1433-7541. doi:10.1007/s10044-022-01091-2.
Omslandseter, Rebekka Olsson; Lei, Jiao; Liu, Yuanwei; Oommen, John (2020). User Grouping and Power Allocation in NOMA Systems: A Reinforcement Learning-Based Solution. Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices.. ISBN: 978-3-030-55789-8. Springer Nature. Artikkel. s 299 - 311.