Per-Arne Andersen

CoRR, 2023

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

[BibT_eX]

[DOI]

Mohamed-Bachir Belaid

Jivitesh Sharma

Lei Jiao

Anis Yazidi

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

DeNISE: Deep Networks for Improved Segmentation Edges.

[BibT_eX]

[DOI]

Sander Riisøen Jyhne

CoRR, 2023

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

[BibT_eX]

[DOI]

Martin Holen

Kristian Muri Knausgård

CoRR, 2023

Contrastive Transformer: Contrastive Learning Scheme with Transformer innate Patches.

[BibT_eX]

[DOI]

Sander Riisøen Jyhne

CoRR, 2023

Distinct Sequential Models for Inference Boosting.

[BibT_eX]

[DOI]

Rune Alexander Laursen

Peshang Alo

Gabriel Bergman Henriksen

Proceedings of the Artificial Intelligence XL, 2023

A Contrastive Learning Scheme with Transformer Innate Patches.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence XL, 2023

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

[BibT_eX]

[DOI]

Vetle Nesland Evensen

Proceedings of the Artificial Intelligence XL, 2023

DeNISE: Deep Networks for Improved Segmentation Edges.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence Applications and Innovations, 2023

2022

Synthetic data generated in Unreal Engine 4.

[BibT_eX]

[DOI]

Dataset, August, 2022

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

[BibT_eX]

[DOI]

Abraham Anderson

Einar Julius Olafarson

Nadia Saad Noori

Proceedings of the Artificial Intelligence XXXIX, 2022

CaiRL: A High-Performance Reinforcement Learning Environment Toolkit.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Jivitesh Sharma

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

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

[BibT_eX]

[DOI]

Expert Syst. J. Knowl. Eng., 2021

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

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence XXXVIII, 2021

2020

Towards safe reinforcement-learning in industrial grid-warehousing.

[BibT_eX]

[DOI]

Inf. Sci., 2020

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

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence XXXVII, 2020

Safer Reinforcement Learning for Agents in Industrial Grid-Warehousing.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Proceedings of the Intelligent Technologies and Applications, 2020

2019

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

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence XXXVI, 2019

2018

Deep Reinforcement Learning using Capsules in Advanced Game Environments.

[BibT_eX]

[DOI]

CoRR, 2018

The Dreaming Variational Autoencoder for Reinforcement Learning Environments.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence XXXV, 2018

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

[BibT_eX]

[DOI]

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

2017

Towards a Deep Reinforcement Learning Approach for Tower Line Wars.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence XXXIV, 2017

FlashRL: A Reinforcement Learning Platform for Flash Games.

[BibT_eX]

[DOI]