Per-Arne Andersen

According to our database, Per-Arne Andersen authored at least 35 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards safe and sustainable reinforcement learning for real-time strategy games.

Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo

Inf. Sci., 2024

Exploring Effects of Hyperdimensional Vectors for Tsetlin Machines.

Vojtech Halenka, Ahmed K. Kadhim, Paul F. A. Clarke, Bimal Bhattarai, Rupsa Saha, Ole-Christoffer Granmo, Lei Jiao, Per-Arne Andersen

CoRR, 2024

MapAI: Precision in Building Segmentation.

Sander Riisøen Jyhne, Morten Goodwin, Per-Arne Andersen, Ivar Oveland, Alexander Salveson Nossum, Karianne Ormseth, Mathilde Ørstavik, Andrew C. Flatman

CoRR, 2024

Exploring Efficient Job Shop Scheduling Using Deep Reinforcement Learning.

Reshma Maharjan, Per-Arne Andersen, Lei Jiao

Proceedings of the Artificial Intelligence XLI, 2024

TRAPL: Transformer-Based Patch Learning for Enhancing Semantic Representations Using Aggregated Features to Estimate Patch-Class Distribution.

Sander Riisøen Jyhne, Per-Arne Andersen, Ivar Oveland, Morten Goodwin

Proceedings of the Artificial Intelligence XLI, 2024

NER Explainability Framework: Utilizing LIME to Enhance Clarity and Robustness in Named Entity Recognition.

Morten Grundetjern, Per-Arne Andersen, Morten Goodwin, Karl Audun Borgersen

Proceedings of the Artificial Intelligence XLI, 2024

PlanBERT: From Messy Zonal Plans to Informative Vector Embeddings.

Henrik Brådland, Morten Goodwin, Per-Arne Andersen, Alexander Salveson Nossum

Proceedings of the Artificial Intelligence XLI, 2024

Towards Robust Road Quality Detection Using Different Detection Models.

Aayushi Vinod Thantharate, Morten Goodwin, Per-Arne Andersen, Aditya Gupta

Proceedings of the Artificial Intelligence Applications and Innovations, 2024

2023

Contracting Tsetlin Machine with Absorbing Automata.

Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao, Per-Arne Andersen, Svein Anders Tunheim, Rishad A. Shafik, Alex Yakovlev

CoRR, 2023

Generalized Convergence Analysis of Tsetlin Machines: A Probabilistic Approach to Concept Learning.

Mohamed-Bachir Belaid, Jivitesh Sharma, Lei Jiao, Ole-Christoffer Granmo, Per-Arne Andersen, Anis Yazidi

CoRR, 2023

Learning Minimalistic Tsetlin Machine Clauses with Markov Boundary-Guided Pruning.

Ole-Christoffer Granmo, Per-Arne Andersen, Lei Jiao, Xuan Zhang, Christian D. Blakely, Tor Oddbjørn Tveit

CoRR, 2023

DeNISE: Deep Networks for Improved Segmentation Edges.

Sander Riisøen Jyhne, Per-Arne Andersen, Morten Goodwin

CoRR, 2023

Loss and Reward Weighing for increased learning in Distributed Reinforcement Learning.

Martin Holen, Per-Arne Andersen, Kristian Muri Knausgård, Morten Goodwin

CoRR, 2023

Contrastive Transformer: Contrastive Learning Scheme with Transformer innate Patches.

Sander Riisøen Jyhne, Per-Arne Andersen, Morten Goodwin

CoRR, 2023

Distinct Sequential Models for Inference Boosting.

Rune Alexander Laursen, Peshang Alo, Morten Goodwin, Per-Arne Andersen

Proceedings of the Artificial Intelligence XL, 2023

A Contrastive Learning Scheme with Transformer Innate Patches.

Sander Riisøen Jyhne, Per-Arne Andersen, Morten Goodwin, Ivar Oveland

Proceedings of the Artificial Intelligence XL, 2023

ReFrogID: Pattern Recognition for Pool Frog Identification Using Deep Learning and Feature Matching.

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

Proceedings of the Artificial Intelligence XL, 2023

DeNISE: Deep Networks for Improved Segmentation Edges.

Sander Riisøen Jyhne, Jørgen Åsbu Jacobsen, Morten Goodwin, Per-Arne Andersen

Proceedings of the Artificial Intelligence Applications and Innovations, 2023

2022

Synthetic data generated in Unreal Engine 4.

Sigurd Kvalsvik, Ingeborg Rasmussen, Daniel Hagen, Teodor Nilsen Aune, Per-Arne Andersen

Dataset, August, 2022

The ODeLIndA Dataset for Field-of-View Obstruction Detection Using Transfer Learning for Real-Time Industrial Applications.

Abraham Anderson, Einar Julius Olafarson, Per-Arne Andersen, Nadia Saad Noori

Proceedings of the Artificial Intelligence XXXIX, 2022

CaiRL: A High-Performance Reinforcement Learning Environment Toolkit.

Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

2021

Deep Q-Learning With Q-Matrix Transfer Learning for Novel Fire Evacuation Environment.

Jivitesh Sharma, Per-Arne Andersen, Ole-Christoffer Granmo, Morten Goodwin

IEEE Trans. Syst. Man Cybern. Syst., 2021

Increasing sample efficiency in deep reinforcement learning using generative environment modelling.

Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo

Expert Syst. J. Knowl. Eng., 2021

ORACLE: End-to-End Model Based Reinforcement Learning.

Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo

Proceedings of the Artificial Intelligence XXXVIII, 2021

2020

Towards safe reinforcement-learning in industrial grid-warehousing.

Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo

Inf. Sci., 2020

CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning.

Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo

Proceedings of the Artificial Intelligence XXXVII, 2020

Safer Reinforcement Learning for Agents in Industrial Grid-Warehousing.

Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

Interpretable Option Discovery Using Deep Q-Learning and Variational Autoencoders.

Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo

Proceedings of the Intelligent Technologies and Applications, 2020

2019

Towards Model-Based Reinforcement Learning for Industry-Near Environments.

Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo

Proceedings of the Artificial Intelligence XXXVI, 2019

2018

Deep Reinforcement Learning using Capsules in Advanced Game Environments.

Per-Arne Andersen

CoRR, 2018

The Dreaming Variational Autoencoder for Reinforcement Learning Environments.

Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo

Proceedings of the Artificial Intelligence XXXV, 2018

Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games.

Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo

Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018

2017

Towards a Deep Reinforcement Learning Approach for Tower Line Wars.

Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo

Proceedings of the Artificial Intelligence XXXIV, 2017

FlashRL: A Reinforcement Learning Platform for Flash Games.

Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo

Proceedings of the 30th Norsk Informatikkonferanse, 2017

2016

Adaptive Task Assignment in Online Learning Environments.

Per-Arne Andersen, Christian Kråkevik, Morten Goodwin, Anis Yazidi

Proceedings of the 6th International Conference on Web Intelligence, Mining and Semantics, 2016