Per-Arne Andersen

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 40

Top Topics

Feature Matching

Industrial Applications

Reinforcement Learning

Efficient Inference Algorithms

Top Venues

Publications

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 (2024)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
Towards safe and sustainable reinforcement learning for real-time strategy games. Inf. Sci. 679 (2024)
Aayushi Vinod Thantharate, Morten Goodwin, Per-Arne Andersen, Aditya Gupta
Towards Robust Road Quality Detection Using Different Detection Models. AIAI (3) (2024)
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 (2024)
Martin Holen, Per-Arne Andersen, Kristian Muri Knausgård, Morten Goodwin
Loss and Reward Weighing for increased learning in Distributed Reinforcement Learning. CoRR (2023)
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)
Sander Riisøen Jyhne, Per-Arne Andersen, Morten Goodwin
DeNISE: Deep Networks for Improved Segmentation Edges. CoRR (2023)
Rune Alexander Laursen, Peshang Alo, Morten Goodwin, Per-Arne Andersen
Distinct Sequential Models for Inference Boosting. SGAI Conf. (2023)
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 (2023)
Sander Riisøen Jyhne, Per-Arne Andersen, Morten Goodwin
Contrastive Transformer: Contrastive Learning Scheme with Transformer innate Patches. CoRR (2023)
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 (2023)
Sander Riisøen Jyhne, Per-Arne Andersen, Morten Goodwin, Ivar Oveland
A Contrastive Learning Scheme with Transformer Innate Patches. SGAI Conf. (2023)
Sander Riisøen Jyhne, Jørgen Åsbu Jacobsen, Morten Goodwin, Per-Arne Andersen
DeNISE: Deep Networks for Improved Segmentation Edges. AIAI (1) (2023)
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 (2023)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
CaiRL: A High-Performance Reinforcement Learning Environment Toolkit. CoRR (2022)
Per-Arne Andersen, Ole-Christoffer Granmo, Morten Goodwin
Interpretable Option Discovery using Deep Q-Learning and Variational Autoencoders. CoRR (2022)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning. CoRR (2022)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
CaiRL: A High-Performance Reinforcement Learning Environment Toolkit. CoG (2022)
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)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
ORACLE: End-to-End Model Based Reinforcement Learning. SGAI Conf. (2021)
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)
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) (2021)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
Safer Reinforcement Learning for Agents in Industrial Grid-Warehousing. LOD (2) (2020)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
Towards safe reinforcement-learning in industrial grid-warehousing. Inf. Sci. 537 (2020)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning. SGAI Conf. (2020)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
Interpretable Option Discovery Using Deep Q-Learning and Variational Autoencoders. INTAP (2020)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
Towards Model-based Reinforcement Learning for Industry-near Environments. CoRR (2019)
Jivitesh Sharma, Per-Arne Andersen, Ole-Christoffer Granmo, Morten Goodwin
Deep Q-Learning with Q-Matrix Transfer Learning for Novel Fire Evacuation Environment. CoRR (2019)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
Towards Model-Based Reinforcement Learning for Industry-Near Environments. SGAI Conf. (2019)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
The Dreaming Variational Autoencoder for Reinforcement Learning Environments. CoRR (2018)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games. CIG (2018)
Per-Arne Andersen
Deep Reinforcement Learning using Capsules in Advanced Game Environments. CoRR (2018)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
The Dreaming Variational Autoencoder for Reinforcement Learning Environments. SGAI Conf. (2018)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
FlashRL: A Reinforcement Learning Platform for Flash Games. CoRR (2018)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games. CoRR (2018)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
Towards a Deep Reinforcement Learning Approach for Tower Line Wars. CoRR (2017)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
FlashRL: A Reinforcement Learning Platform for Flash Games. NIK (2017)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
Towards a Deep Reinforcement Learning Approach for Tower Line Wars. SGAI Conf. (2017)
Per-Arne Andersen, Christian Kråkevik, Morten Goodwin, Anis Yazidi
Adaptive Task Assignment in Online Learning Environments. WIMS (2016)
Per-Arne Andersen, Christian Kråkevik, Morten Goodwin Olsen, Anis Yazidi
Adaptive Task Assignment in Online Learning Environments. CoRR (2016)