Artur Luczak

According to our database, Artur Luczak authored at least 15 papers between 2010 and 2025.

Collaborative distances:

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

2025

Neurons as autonomous agents: A biologically inspired framework for cognitive architectures in artificial intelligence.

Artur Luczak

Cogn. Syst. Res., 2025

2024

Memory Augmented Multi-agent Reinforcement Learning for Cooperative Environment.

Maryam Kia, Jordan Cramer, Artur Luczak

Proceedings of the Artificial Intelligence and Soft Computing, 2024

2023

Hippocluster: An efficient, hippocampus-inspired algorithm for graph clustering.

Eric Chalmers, Aaron J. Gruber, Artur Luczak

Inf. Sci., August, 2023

Reinforcement Learning with Brain-Inspired Modulation Improves Adaptation to Environmental Changes.

Eric Chalmers, Artur Luczak

Proceedings of the Artificial Intelligence and Soft Computing, 2023

2022

Neurons learn by predicting future activity.

Artur Luczak, Bruce L. McNaughton, Yoshimasa Kubo

Nat. Mach. Intell., 2022

Combining backpropagation with Equilibrium Propagation to improve an Actor-Critic reinforcement learning framework.

Yoshimasa Kubo, Eric Chalmers, Artur Luczak

Frontiers Comput. Neurosci., 2022

Hippocluster: an efficient, hippocampus-inspired algorithm for graph clustering.

Eric Chalmers, Artur Luczak

CoRR, 2022

Reinforcement Learning with Brain-Inspired Modulation can Improve Adaptation to Environmental Changes.

Eric Chalmers, Artur Luczak

CoRR, 2022

Biologically-inspired neuronal adaptation improves learning in neural networks.

Yoshimasa Kubo, Eric Chalmers, Artur Luczak

CoRR, 2022

2019

A Deep Convolutional Auto-encoder with Pooling - Unpooling Layers in Caffe.

Volodymyr Turchenko, Eric Chalmers, Artur Luczak

Int. J. Comput., 2019

2018

Learning to Predict Consequences as a Method of Knowledge Transfer in Reinforcement Learning.

Eric Chalmers, Edgar Bermudez Contreras, Brandon Robertson, Artur Luczak, Aaron J. Gruber

IEEE Trans. Neural Networks Learn. Syst., 2018

2017

Creation of a deep convolutional auto-encoder in Caffe.

Volodymyr Turchenko, Artur Luczak

Proceedings of the 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2017

2016

Computational Properties of the Hippocampus Increase the Efficiency of Goal-Directed Foraging through Hierarchical Reinforcement Learning.

Eric Chalmers, Artur Luczak, Aaron J. Gruber

Frontiers Comput. Neurosci., 2016

Context-switching and adaptation: Brain-inspired mechanisms for handling environmental changes.

Eric Chalmers, Edgar Bermudez Contreras, Brandon Robertson, Artur Luczak, Aaron J. Gruber

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2010

Measuring Neuronal Branching Patterns Using Model-Based Approach.

Artur Luczak

Frontiers Comput. Neurosci., 2010