Per-Arne Andersen

58 papers A* 2C 1Journal 30Unranked 24
YearRankTypeTitle / Venue / Authors
2026 J jnl
Explainable and Hardware-Efficient Jamming Detection for 5G Networks Using the Convolutional Tsetlin Machine.
CoRR
Vojtech Halenka, Mohammadreza Amini, Per-Arne Andersen, Ole-Christoffer Granmo, Burak Kantarci
2025 — conf
A Comparative Study of Feature Selection in Tsetlin Machines.
AI (1)
Vojtech Halenka, Ole-Christoffer Granmo, Lei Jiao, Per-Arne Andersen
2025 J jnl
A Comparative Study of Feature Selection in Tsetlin Machines.
CoRR
Vojtech Halenka, Ole-Christoffer Granmo, Lei Jiao, Per-Arne Andersen
2025 A* conf
A New HOPE: Domain-agnostic Automatic Evaluation of Text Chunking.
SIGIR
Henrik Brådland, Morten Goodwin, Per-Arne Andersen, Alexander Salveson Nossum, Aditya Gupta
2025 J jnl
A New HOPE: Domain-agnostic Automatic Evaluation of Text Chunking.
CoRR
Henrik Brådland, Morten Goodwin, Per-Arne Andersen, Alexander Salveson Nossum, Aditya Gupta
2025 — conf
A Reinforcement Learning Environment for Job Shop Scheduling with Tool Management.
AI (2)
Reshma Maharjan, Per-Arne Andersen, Lei Jiao
2025 — conf
DESS: Dimensional-PDFs for Embedding Space Sampling.
AI (1)
Jakob Voigt, Morten Grundetjern, Per-Arne Andersen, Morten Goodwin
2025 A* conf
Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept Learning.
AAAI
Mohamed-Bachir Belaid, Jivitesh Sharma, Lei Jiao, Ole-Christoffer Granmo, Per-Arne Andersen, Anis Yazidi
2025 — conf
Implementing Hybrid Tsetlin Machine and Q-Learning for Solving the Job Shop Scheduling.
EANN (1)
Reshma Maharjan, Per-Arne Andersen, Lei Jiao
2025 J jnl
Knowledge-Informed Automatic Feature Extraction via Collaborative Large Language Model Agents.
CoRR
Henrik Brådland, Morten Goodwin, Vladimir I. Zadorozhny, Per-Arne Andersen
2025 J jnl
MixCTME: A Mixture of Convolutional Tsetlin Machine Experts Using Diverse Spectrogram Visualizations for Jamming Signal Classification.
IEEE Internet Things J.
Sindhusha Jeeru, Rebekka Olsson Omslandseter, Per-Arne Andersen, Aiden J. Morrison, Nadezda Sokolova, Ole-Christoffer Granmo, Lei Jiao
2025 J jnl
SuperF: Neural Implicit Fields for Multi-Image Super-Resolution.
CoRR
Sander Riisøen Jyhne, Christian Igel, Morten Goodwin, Per-Arne Andersen, Serge J. Belongie, Nico Lang
2025 J jnl
The Tsetlin Machine Goes Deep: Logical Learning and Reasoning With Graphs.
CoRR
Ole-Christoffer Granmo, Youmna Abdelwahab, Per-Arne Andersen, Paul F. A. Clarke, Kunal Ganesh Dumbre, Ylva Grønningsæter, Vojtech Halenka, Runar Helin, Lei Jiao, Ahmed Khalid, Rebekka Olsson Omslandseter, Rupsa Saha, Mayur Shende, Xuan Zhang
2024 J jnl
Exploring Effects of Hyperdimensional Vectors for Tsetlin Machines.
CoRR
Vojtech Halenka, Ahmed K. Kadhim, Paul F. A. Clarke, Bimal Bhattarai, Rupsa Saha, Ole-Christoffer Granmo, Lei Jiao, Per-Arne Andersen
2024 — conf
Exploring Efficient Job Shop Scheduling Using Deep Reinforcement Learning.
SGAI Conf. (2)
Reshma Maharjan, Per-Arne Andersen, Lei Jiao
2024 J jnl
MapAI: Precision in Building Segmentation.
CoRR
Sander Riisøen Jyhne, Morten Goodwin, Per-Arne Andersen, Ivar Oveland, Alexander Salveson Nossum, Karianne Ormseth, Mathilde Ørstavik, Andrew C. Flatman
2024 — conf
NER Explainability Framework: Utilizing LIME to Enhance Clarity and Robustness in Named Entity Recognition.
SGAI Conf. (1)
Morten Grundetjern, Per-Arne Andersen, Morten Goodwin, Karl Audun Borgersen
2024 — conf
PlanBERT: From Messy Zonal Plans to Informative Vector Embeddings.
SGAI Conf. (1)
Henrik Brådland, Morten Goodwin, Per-Arne Andersen, Alexander Salveson Nossum
2024 — conf
TRAPL: Transformer-Based Patch Learning for Enhancing Semantic Representations Using Aggregated Features to Estimate Patch-Class Distribution.
SGAI Conf. (1)
Sander Riisøen Jyhne, Per-Arne Andersen, Ivar Oveland, Morten Goodwin
2024 — conf
Towards Robust Road Quality Detection Using Different Detection Models.
AIAI (3)
Aayushi Vinod Thantharate, Morten Goodwin, Per-Arne Andersen, Aditya Gupta
2024 J jnl
Towards safe and sustainable reinforcement learning for real-time strategy games.
Inf. Sci.
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2023 — conf
A Contrastive Learning Scheme with Transformer Innate Patches.
SGAI Conf.
Sander Riisøen Jyhne, Per-Arne Andersen, Morten Goodwin, Ivar Oveland
2023 J jnl
Contracting Tsetlin Machine with Absorbing Automata.
CoRR
Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao, Per-Arne Andersen, Svein Anders Tunheim, Rishad A. Shafik, Alex Yakovlev
2023 J jnl
Contrastive Transformer: Contrastive Learning Scheme with Transformer innate Patches.
CoRR
Sander Riisøen Jyhne, Per-Arne Andersen, Morten Goodwin
2023 — conf
DeNISE: Deep Networks for Improved Segmentation Edges.
AIAI (1)
Sander Riisøen Jyhne, Jørgen Åsbu Jacobsen, Morten Goodwin, Per-Arne Andersen
2023 J jnl
DeNISE: Deep Networks for Improved Segmentation Edges.
CoRR
Sander Riisøen Jyhne, Per-Arne Andersen, Morten Goodwin
2023 — conf
Distinct Sequential Models for Inference Boosting.
SGAI Conf.
Rune Alexander Laursen, Peshang Alo, Morten Goodwin, Per-Arne Andersen
2023 J jnl
Generalized Convergence Analysis of Tsetlin Machines: A Probabilistic Approach to Concept Learning.
CoRR
Mohamed-Bachir Belaid, Jivitesh Sharma, Lei Jiao, Ole-Christoffer Granmo, Per-Arne Andersen, Anis Yazidi
2023 J jnl
Learning Minimalistic Tsetlin Machine Clauses with Markov Boundary-Guided Pruning.
CoRR
Ole-Christoffer Granmo, Per-Arne Andersen, Lei Jiao, Xuan Zhang, Christian D. Blakely, Tor Oddbjørn Tveit
2023 J jnl
Loss and Reward Weighing for increased learning in Distributed Reinforcement Learning.
CoRR
Martin Holen, Per-Arne Andersen, Kristian Muri Knausgård, Morten Goodwin
2023 — conf
ReFrogID: Pattern Recognition for Pool Frog Identification Using Deep Learning and Feature Matching.
SGAI Conf.
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
2022 — —
Advancements in Safe Deep Reinforcement Learning for Real-Time Strategy Games and Industry Applications.
Per-Arne Andersen
2022 C conf
CaiRL: A High-Performance Reinforcement Learning Environment Toolkit.
CoG
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2022 J jnl
CaiRL: A High-Performance Reinforcement Learning Environment Toolkit.
CoRR
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2022 J jnl
CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning.
CoRR
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2022 J jnl
Interpretable Option Discovery using Deep Q-Learning and Variational Autoencoders.
CoRR
Per-Arne Andersen, Ole-Christoffer Granmo, Morten Goodwin
2022 — conf
The ODeLIndA Dataset for Field-of-View Obstruction Detection Using Transfer Learning for Real-Time Industrial Applications.
SGAI Conf.
Abraham Anderson, Einar Julius Olafarson, Per-Arne Andersen, Nadia Saad Noori
2021 J jnl
Deep Q-Learning With Q-Matrix Transfer Learning for Novel Fire Evacuation Environment.
IEEE Trans. Syst. Man Cybern. Syst.
Jivitesh Sharma, Per-Arne Andersen, Ole-Christoffer Granmo, Morten Goodwin
2021 J jnl
Increasing sample efficiency in deep reinforcement learning using generative environment modelling.
Expert Syst. J. Knowl. Eng.
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2021 — conf
ORACLE: End-to-End Model Based Reinforcement Learning.
SGAI Conf.
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2020 — conf
CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning.
SGAI Conf.
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2020 — conf
Interpretable Option Discovery Using Deep Q-Learning and Variational Autoencoders.
INTAP
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2020 — conf
Safer Reinforcement Learning for Agents in Industrial Grid-Warehousing.
LOD (2)
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2020 J jnl
Towards safe reinforcement-learning in industrial grid-warehousing.
Inf. Sci.
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2019 J jnl
Deep Q-Learning with Q-Matrix Transfer Learning for Novel Fire Evacuation Environment.
CoRR
Jivitesh Sharma, Per-Arne Andersen, Ole-Christoffer Granmo, Morten Goodwin
2019 — conf
Towards Model-Based Reinforcement Learning for Industry-Near Environments.
SGAI Conf.
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2019 J jnl
Towards Model-based Reinforcement Learning for Industry-near Environments.
CoRR
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2018 — conf
Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games.
CIG
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2018 J jnl
Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games.
CoRR
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2018 J jnl
Deep Reinforcement Learning using Capsules in Advanced Game Environments.
CoRR
Per-Arne Andersen
2018 J jnl
FlashRL: A Reinforcement Learning Platform for Flash Games.
CoRR
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2018 — conf
The Dreaming Variational Autoencoder for Reinforcement Learning Environments.
SGAI Conf.
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2018 J jnl
The Dreaming Variational Autoencoder for Reinforcement Learning Environments.
CoRR
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2017 — conf
FlashRL: A Reinforcement Learning Platform for Flash Games.
NIK
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2017 — conf
Towards a Deep Reinforcement Learning Approach for Tower Line Wars.
SGAI Conf.
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2017 J jnl
Towards a Deep Reinforcement Learning Approach for Tower Line Wars.
CoRR
Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
2016 — conf
Adaptive Task Assignment in Online Learning Environments.
WIMS
Per-Arne Andersen, Christian Kråkevik, Morten Goodwin, Anis Yazidi
2016 J jnl
Adaptive Task Assignment in Online Learning Environments.
CoRR
Per-Arne Andersen, Christian Kråkevik, Morten Goodwin Olsen, Anis Yazidi