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Per-Arne Andersen

Per-Arne Andersen

Førsteamanuensis

Institutt for informasjons- og kommunikasjonsteknologi >

 

+47 37 23 31 67

+47 905 31 506

Kontor:
A3091 ( Jon Lilletuns vei 9, Grimstad )

Vitenskapelige publikasjoner

  • Thantharate, Aayushi Vinod; Goodwin, Morten; Andersen, Per-Arne; Gupta, Aditya (2024). Towards Robust Road Quality Detection Using Different Detection Models. Artificial Intelligence Applications and Innovations. AIAI 2024. ISBN: 978-3-031-63218-1. Springer. Chapter. s 125 - 138.
  • Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2024). Towards safe and sustainable reinforcement learning for real-time strategy games. Information Sciences. ISSN: 0020-0255. 679doi:10.1016/j.ins.2024.120980.
  • Jyhne, Sander; Andersen, Per-Arne; Goodwin, Morten; Oveland, Ivar (2023). A Contrastive Learning Scheme with Transformer Innate Patches. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. 14381s 103 - 114. doi:10.1007/978-3-031-47994-6_8.
  • Bhattarai, Bimal; Granmo, Ole-Christoffer; Lei, Jiao; Andersen, Per-Arne; Tunheim, Svein Anders; Shafik, Rishad Ahmed; Yakovlev, Alexandre (2023). Contracting Tsetlin Machine with Absorbing Automata. 2023 International Symposium on the Tsetlin Machine (ISTM). ISBN: 979-8-3503-4477-6. IEEE conference proceedings. Chapter.
  • Jyhne, Sander; Jacobsen, Jørgen Åsbu; Goodwin, Morten; Andersen, Per-Arne (2023). DeNISE: Deep Networks for Improved Segmentation Edges. IFIP Advances in Information and Communication Technology. ISSN: 1868-4238. 675s 81 - 89. doi:10.1007/978-3-031-34111-3_8.
  • Laursen, Rune Alexander; Alo, Peshang; Goodwin, Morten; Andersen, Per-Arne (2023). Distinct Sequential Models for Inference Boosting. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. 14381s 198 - 203. doi:10.1007/978-3-031-47994-6_15.
  • Drøsdal, Didrik Kallhovd; Grimsmo, Andreas; Andersen, Per-Arne; Granmo, Ole-Christoffer; Goodwin, Morten (2023). Exploring the Potential of Model-Free Reinforcement Learning using Tsetlin Machines. 2023 International Symposium on the Tsetlin Machine (ISTM). ISBN: 979-8-3503-4477-6. IEEE conference proceedings. Chapter.
  • Granmo, Ole-Christoffer; Andersen, Per-Arne; Lei, Jiao; Zhang, Xuan; Blakely, Christian Dallas; Berge, Geir Thore; Tveit, Tor Oddbjørn (2023). Learning Minimalistic Tsetlin Machine Clauses with Markov Boundary-Guided Pruning. 2023 International Symposium on the Tsetlin Machine (ISTM). ISBN: 979-8-3503-4477-6. IEEE conference proceedings. Chapter.
  • Evensen, Vetle Nesland; Henriksen, Gabriel Bergman; Melhus, Sondre; Olsen, Ole Steine; Haugen, Kristina; Dolmen, Dag; Wiklund, Arne; Andersen, Per-Arne; Goodwin, Morten; Korslund, Lars; Noori, Nadia Saad (2023). ReFrogID: Pattern Recognition for Pool Frog Identification Using Deep Learning and Feature Matching. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. 14381s 365 - 376. doi:10.1007/978-3-031-47994-6_33.
  • Gunvaldsen, Ole; Thorsen, Henning Blomfeld; Andersen, Per-Arne; Granmo, Ole-Christoffer; Goodwin, Morten (2023). Towards IoT Anomaly Detection with Tsetlin Machines. 2023 International Symposium on the Tsetlin Machine (ISTM). ISBN: 979-8-3503-4477-6. IEEE conference proceedings. Chapter.
  • Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2022). CaiRL: A High-Performance Reinforcement Learning Environment Toolkit. 2022 IEEE Conference on Games (CoG). ISBN: 978-1-6654-5989-1. IEEE conference proceedings. Chapter. s 361 - 368.
  • Rasmussen, Ingeborg; Kvalsvik, Sigurd; Andersen, Per-Arne; Aune, Teodor N.; Hagen, Daniel (2022). Development of a Novel Object Detection System Based on Synthetic Data Generated from Unreal Game Engine. Applied Sciences. ISSN: 2076-3417. 12 (17). doi:10.3390/app12178534.
  • Jyhne, Sander; Goodwin, Morten; Andersen, Per-Arne; Oveland, Ivar; Nossum, Alexander Salveson; Ormseth, Karianne Øydegard; Ørstavik, Mathilde; Flatman, Andrew C. (2022). MapAI: Precision in BuildingSegmentation. Nordic Machine Intelligence (NMI). ISSN: 2703-9196. 2s 1 - 3. doi:10.5617/nmi.9849.
  • Anderson, Abraham; Olafarson, Einar Julius; Andersen, Per-Arne; Noori, Nadia Saad (2022). The ODeLIndA Dataset for Field-of-View Obstruction Detection Using Transfer Learning for Real-Time Industrial Applications. Artificial Intelligence XXXIX 42nd SGAI International Conference on Artificial Intelligence, AI 2022. ISBN: 978-3-031-21441-7. Springer. Chapter. s 197 - 210.
  • Sharma, Jivitesh; Andersen, Per-Arne; Granmo, Ole-Christoffer; Goodwin, Morten (2021). Deep Q-Learning with Q-Matrix Transfer Learning for Novel Fire Evacuation Environment. IEEE Transactions on Systems, Man & Cybernetics. Systems. ISSN: 2168-2216. 51 (12). s 7363 - 7381. doi:10.1109/TSMC.2020.2967936.
  • Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2021). ORACLE: End-to-End Model Based Reinforcement Learning. Artificial Intelligence XXXVIII, 41st SGAI International Conference on Artificial Intelligence. ISBN: 978-3-030-91099-0. Springer. chapter.
  • Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2020). Increasing sample efficiency in deep reinforcement learning using generative environment modelling. Expert Systems. ISSN: 0266-4720. doi:10.1111/exsy.12537.
  • Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2020). Increasing sample efficiency in deep reinforcement learningusing generative environment modelling. Expert Systems. ISSN: 0266-4720. doi:10.1111/exsy.12537.
  • Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2020). Safer Reinforcement Learning for Agents in Industrial Grid-Warehousing. Machine Learning, Optimization, and Data Science: 6th International Conference, LOD 2020. ISBN: 978-3-030-64579-3. Springer Nature. chapter. s 169 - 180.
  • Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2020). Towards safe reinforcement-learning in industrial grid-warehousing. Information Sciences. ISSN: 0020-0255. 537s 467 - 484. doi:10.1016/j.ins.2020.06.010.
  • Sharma, Jivitesh; Andersen, Per-Arne; Granmo, Ole-Christoffer; Goodwin, Morten (2019). Deep Q-Learning with Q-Matrix Transfer Learning for Novel Fire Evacuation Environment. arXiv.org. ISSN: 2331-8422. doi:10.1109/tsmc.2020.2967936.
  • Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2019). Towards Model-Based Reinforcement Learning for Industry-Near Environments. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. 11927 LNAIs 36 - 49. doi:10.1007/978-3-030-34885-4_3.
  • Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2019). Towards Model-based Reinforcement Learning for Industry-near Environments. arXiv.org. ISSN: 2331-8422. doi:10.1007/978-3-030-34885-4_3.
  • Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2018). Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games. 2018 IEEE Conference on Computational Intelligence and Games (CIG). ISBN: 978-1-5386-4359-4. IEEE conference proceedings. chapter.
  • Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2018). The dreaming variational autoencoder for reinforcement learning environments. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. 11311 LNAIs 143 - 155. doi:10.1007/978-3-030-04191-5_11.
  • Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2017). FlashRL: A Reinforcement Learning Platform for Flash Games. NIKT: Norsk IKT-konferanse for forskning og utdanning. ISSN: 1892-0713.
  • Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (2017). Towards a deep reinforcement learning approach for tower line wars. Lecture Notes in Computer Science (LNCS). ISSN: 0302-9743. 10630 LNAIs 101 - 114. doi:10.1007/978-3-319-71078-5_8.
  • Andersen, Per-Arne; Haraldseid, Christian Kråkevik; Goodwin, Morten; Yazidi, Anis (2016). Adaptive Task Assignment in Online Learning Environments. Proceedings of the 6th International Conference on Web Intelligence, Mining and Semantics, WIMS 2016. ISBN: 978-1-4503-4056-4. Association for Computing Machinery (ACM). Article No. 5. s 1 - 10.
  • Andersen, Per-Arne; Goodwin, Morten; Lyngroth, Maren Thormodsæter (2024). Vi spår kunstig intelligens-året 2024 og fem år frem i tid.

Ekspertområder

Sist endret: 18.08.2022 10:08