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2020 – today
- 2024
[j4]Per-Arne Andersen
, Morten Goodwin, Ole-Christoffer Granmo:
Towards safe and sustainable reinforcement learning for real-time strategy games. Inf. Sci. 679: 120980 (2024)- [c21]Aayushi Vinod Thantharate, Morten Goodwin, Per-Arne Andersen, Aditya Gupta:
Towards Robust Road Quality Detection Using Different Detection Models. AIAI (3) 2024: 125-138 - [c20]Morten Grundetjern, Per-Arne Andersen, Morten Goodwin, Karl Audun Borgersen:
NER Explainability Framework: Utilizing LIME to Enhance Clarity and Robustness in Named Entity Recognition. SGAI Conf. (1) 2024: 3-15 - [c19]Sander Riisøen Jyhne, Per-Arne Andersen, Ivar Oveland, Morten Goodwin:
TRAPL: Transformer-Based Patch Learning for Enhancing Semantic Representations Using Aggregated Features to Estimate Patch-Class Distribution. SGAI Conf. (1) 2024: 116-129 - [c18]Henrik Brådland, Morten Goodwin, Per-Arne Andersen, Alexander Salveson Nossum:
PlanBERT: From Messy Zonal Plans to Informative Vector Embeddings. SGAI Conf. (1) 2024: 175-188 - [c17]Reshma Maharjan, Per-Arne Andersen, Lei Jiao:
Exploring Efficient Job Shop Scheduling Using Deep Reinforcement Learning. SGAI Conf. (2) 2024: 251-257 - [i19]Sander Riisøen Jyhne, Morten Goodwin, Per-Arne Andersen, Ivar Oveland, Alexander Salveson Nossum, Karianne Ormseth, Mathilde Ørstavik, Andrew C. Flatman:
MapAI: Precision in Building Segmentation. CoRR abs/2401.04406 (2024) - [i18]Vojtech Halenka, Ahmed K. Kadhim, Paul F. A. Clarke, Bimal Bhattarai, Rupsa Saha, Ole-Christoffer Granmo, Lei Jiao, Per-Arne Andersen:
Exploring Effects of Hyperdimensional Vectors for Tsetlin Machines. CoRR abs/2406.02648 (2024) - 2023
- [c16]Sander Riisøen Jyhne, Jørgen Åsbu Jacobsen, Morten Goodwin, Per-Arne Andersen:
DeNISE: Deep Networks for Improved Segmentation Edges. AIAI (1) 2023: 81-89 - [c15]Sander Riisøen Jyhne, Per-Arne Andersen, Morten Goodwin, Ivar Oveland:
A Contrastive Learning Scheme with Transformer Innate Patches. SGAI Conf. 2023: 103-114 - [c14]Rune Alexander Laursen, Peshang Alo, Morten Goodwin, Per-Arne Andersen:
Distinct Sequential Models for Inference Boosting. SGAI Conf. 2023: 198-203 - [c13]Vetle Nesland Evensen, Gabriel Bergman Henriksen, Sondre Melhus, Ole Steine Olsen, Kristina Haugen, Dag Dolmen, Arne Wiklund, Per-Arne Andersen, Morten Goodwin, Lars Mørch Korslund, Nadia Saad Noori:
ReFrogID: Pattern Recognition for Pool Frog Identification Using Deep Learning and Feature Matching. SGAI Conf. 2023: 365-376 - [i17]Sander Riisøen Jyhne, Per-Arne Andersen, Morten Goodwin:
Contrastive Transformer: Contrastive Learning Scheme with Transformer innate Patches. CoRR abs/2303.14806 (2023) - [i16]Martin Holen, Per-Arne Andersen, Kristian Muri Knausgård, Morten Goodwin:
Loss and Reward Weighing for increased learning in Distributed Reinforcement Learning. CoRR abs/2304.12778 (2023) - [i15]Sander Riisøen Jyhne, Per-Arne Andersen, Morten Goodwin:
DeNISE: Deep Networks for Improved Segmentation Edges. CoRR abs/2309.02091 (2023) - [i14]Ole-Christoffer Granmo, Per-Arne Andersen, Lei Jiao, Xuan Zhang, Christian D. Blakely, Tor Oddbjørn Tveit:
Learning Minimalistic Tsetlin Machine Clauses with Markov Boundary-Guided Pruning. CoRR abs/2309.06315 (2023) - [i13]Mohamed-Bachir Belaid, Jivitesh Sharma, Lei Jiao, Ole-Christoffer Granmo, Per-Arne Andersen, Anis Yazidi:
Generalized Convergence Analysis of Tsetlin Machines: A Probabilistic Approach to Concept Learning. CoRR abs/2310.02005 (2023) - [i12]Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao, Per-Arne Andersen, Svein Anders Tunheim, Rishad A. Shafik, Alex Yakovlev:
Contracting Tsetlin Machine with Absorbing Automata. CoRR abs/2310.11481 (2023) - 2022
- [c12]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
CaiRL: A High-Performance Reinforcement Learning Environment Toolkit. CoG 2022: 361-368 - [c11]Abraham Anderson, Einar Julius Olafarson, Per-Arne Andersen, Nadia Saad Noori:
The ODeLIndA Dataset for Field-of-View Obstruction Detection Using Transfer Learning for Real-Time Industrial Applications. SGAI Conf. 2022: 197-210 - [d1]Sigurd Kvalsvik, Ingeborg Rasmussen, Daniel Hagen, Teodor Nilsen Aune, Per-Arne Andersen:
Synthetic data generated in Unreal Engine 4. IEEE DataPort, 2022
- [i11]Per-Arne Andersen, Ole-Christoffer Granmo, Morten Goodwin:
Interpretable Option Discovery using Deep Q-Learning and Variational Autoencoders. CoRR abs/2210.01231 (2022) - [i10]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
CaiRL: A High-Performance Reinforcement Learning Environment Toolkit. CoRR abs/2210.01235 (2022) - [i9]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning. CoRR abs/2210.01805 (2022) - 2021
- [j3]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
Increasing sample efficiency in deep reinforcement learning using generative environment modelling. Expert Syst. J. Knowl. Eng. 38(7) (2021) - [j2]Jivitesh Sharma, Per-Arne Andersen, Ole-Christoffer Granmo, Morten Goodwin:
Deep Q-Learning With Q-Matrix Transfer Learning for Novel Fire Evacuation Environment. IEEE Trans. Syst. Man Cybern. Syst. 51(12): 7363-7381 (2021) - [c10]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
ORACLE: End-to-End Model Based Reinforcement Learning. SGAI Conf. 2021: 44-57 - 2020
- [j1]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
Towards safe reinforcement-learning in industrial grid-warehousing. Inf. Sci. 537: 467-484 (2020) - [c9]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
Interpretable Option Discovery Using Deep Q-Learning and Variational Autoencoders. INTAP 2020: 127-138 - [c8]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
Safer Reinforcement Learning for Agents in Industrial Grid-Warehousing. LOD (2) 2020: 169-180 - [c7]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning. SGAI Conf. 2020: 94-107
2010 – 2019
- 2019
- [c6]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
Towards Model-Based Reinforcement Learning for Industry-Near Environments. SGAI Conf. 2019: 36-49 - [i8]Jivitesh Sharma, Per-Arne Andersen, Ole-Christoffer Granmo, Morten Goodwin:
Deep Q-Learning with Q-Matrix Transfer Learning for Novel Fire Evacuation Environment. CoRR abs/1905.09673 (2019) - [i7]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
Towards Model-based Reinforcement Learning for Industry-near Environments. CoRR abs/1907.11971 (2019) - 2018
- [c5]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games. CIG 2018: 1-8 - [c4]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
The Dreaming Variational Autoencoder for Reinforcement Learning Environments. SGAI Conf. 2018: 143-155 - [i6]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
FlashRL: A Reinforcement Learning Platform for Flash Games. CoRR abs/1801.08841 (2018) - [i5]Per-Arne Andersen:
Deep Reinforcement Learning using Capsules in Advanced Game Environments. CoRR abs/1801.09597 (2018) - [i4]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games. CoRR abs/1808.05032 (2018) - [i3]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
The Dreaming Variational Autoencoder for Reinforcement Learning Environments. CoRR abs/1810.01112 (2018) - 2017
- [c3]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
FlashRL: A Reinforcement Learning Platform for Flash Games. NIK 2017 - [c2]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
Towards a Deep Reinforcement Learning Approach for Tower Line Wars. SGAI Conf. 2017: 101-114 - [i2]Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo:
Towards a Deep Reinforcement Learning Approach for Tower Line Wars. CoRR abs/1712.06180 (2017) - 2016
- [c1]Per-Arne Andersen, Christian Kråkevik, Morten Goodwin, Anis Yazidi:
Adaptive Task Assignment in Online Learning Environments. WIMS 2016: 5:1-5:10 - [i1]Per-Arne Andersen, Christian Kråkevik, Morten Goodwin Olsen, Anis Yazidi:
Adaptive Task Assignment in Online Learning Environments. CoRR abs/1606.07233 (2016)
Coauthor Index
aka: Morten Goodwin Olsen
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