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Per-Arne Andersen

Per-Arne Andersen

Associate Professor

Department of Information and Communication Technology >

 

+47 37 23 31 67

+47 905 31 506

Office:
A3091 ( Jon Lilletuns vei 9, Grimstad )

Scientific publications

  • 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.
  • 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.

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Last changed: 18.08.2022 10:08