Per-Arne Andersen
Førsteamanuensis
Vitenskapelige publikasjoner
- Hagen, Daniel; Andersen, Per-Arne; Aune, Teodor Nilsen (2022). Development of a Novel Object Detection System Based on Synthetic Data Generated from Unreal Game Engine. Applied Sciences. ISSN: 2076-3417. doi:10.3390/app12178534.
- 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.
Ekspertområder
Sist endret: 18.08.2022 10:08