English version
Paal Engelstad

Paal Engelstad

Fagområder

Vitenskapsdisipliner

Kommunikasjon og distribuerte systemer   Sikkerhet og sårbarhet

Land

Norge

Vitenskapelige publikasjoner

Bentsen, Lars Ødegaard; Warakagoda, Narada Dilp; Stenbro, Roy; Engelstad, Paal (2024). Relative evaluation of probabilistic methods for spatio-temporal wind forecasting. Journal of Cleaner Production. Vol. 434.
https://doi.org/10.1016/j.jclepro.2023.139944

Meng, Li; Goodwin, Morten ; Yazidi, Anis ; Engelstad, Paal E. (2023). Unsupervised State Representation Learning in Partially Observable Atari Games. Tsapatsoulis, Nicolas (Red.). Computer Analysis of Images and Patterns. CAIP 2023. Springer.
https://doi.org/10.1007/978-3-031-44240-7_21

Bentsen, Lars Ødegaard; Warakagoda, Narada Dilp; Stenbro, Roy; Engelstad, Paal E. (2023). A Unified Graph Formulation for Spatio-Temporal Wind Forecasting. 23 s. Energies. Vol. 16.
https://doi.org/10.3390/en16207179

Rauniyar, Ashish ; Østerbø, Olav Norvald; Håkegård, Jan Erik; Engelstad, Paal E. (2023). Ergodic Performance Analysis of Reconfigurable Intelligent Surface Enabled Bidirectional NOMA. Gregory, Mark A.; Li, Shuo (Red.). Proceedings of the 2023 33rd International Telecommunication Networks and Applications Conference (ITNAC). s. 128-133. IEEE conference proceedings.
https://doi.org/10.1109/ITNAC59571.2023.10368523

Rauniyar, Ashish ; Østerbø, Olav; Håkegård, Jan Erik; Engelstad, Paal E. (2023). Exploiting Cooperative Downlink NOMA in D2D Communications. 18 s. Sensors. Vol. 23.
https://doi.org/10.3390/s23083958

Holen, Martin; Ruud, Else-Line Malene; Warakagoda, Narada Dilp; Granmo, Ole-Christoffer; Engelstad, Paal E. ; Knausgård, Kristian Muri (2022). Towards Using Reinforcement Learning for Autonomous Docking of Unmanned Surface Vehicles. Iliadis, Lazaros; Jayne, Chrisina; Tefas, Anastasios; Pimenidis, Elias (Red.). Engineering Applications of Neural Networks. EANN 2022. Communications in Computer and Information Science. s. 461-474. Springer Nature.
https://doi.org/10.1007/978-3-031-08223-8_38

Aryan, Ramtin ; Yazidi, Anis ; Brattensborg, Frode Henriksen; Kure, Øivind; Engelstad, Paal E. (2022). SDN Spotlight: A real-time OpenFlow troubleshooting framework. 13 s. Future Generation Computer Systems. Vol. 133.
https://doi.org/10.1016/j.future.2022.03.014

Abolghasemi, Roza ; Khadka, Rabindra ; Lind, Pedro ; Engelstad, Paal E. ; Viedma, Enrique Herrera; Yazidi, Anis (2022). Predicting missing pairwise preferences from similarity features in group decision making. Knowledge-Based Systems. Vol. 256.
https://doi.org/10.1016/j.knosys.2022.109860

Meng, Li; Yazidi, Anis ; Goodwin, Morten ; Engelstad, Paal (2022). Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples. 9 s. Proceedings of the Northern Lights Deep Learning Workshop.
https://doi.org/10.7557/18.6237

Meng, Li; Goodwin, Morten ; Yazidi, Anis ; Engelstad, Paal (2022). Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise. 9 s. IEEE Transactions on Games (TG). Vol. 15.
https://doi.org/10.1109/TG.2022.3185330





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