Pawel Wawrzynski

According to our database, Pawel Wawrzynski authored at least 40 papers between 2004 and 2024.

Collaborative distances:

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

2024

ACERAC: Efficient Reinforcement Learning in Fine Time Discretization.

Jakub Lyskawa, Pawel Wawrzynski

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Subgoal Reachability in Goal Conditioned Hierarchical Reinforcement Learning.

Michal Bortkiewicz, Jakub Lyskawa, Pawel Wawrzynski, Mateusz Ostaszewski, Artur Grudkowski, Bartlomiej Sobieski, Tomasz Trzcinski

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2023

Reinforcement learning for optimization of energy trading strategy.

Lukasz Lepak, Pawel Wawrzynski

CoRR, 2023

Least Redundant Gated Recurrent Neural Network.

Lukasz Neumann, Lukasz Lepak, Pawel Wawrzynski

Proceedings of the International Joint Conference on Neural Networks, 2023

Actor-Critic with Variable Time Discretization via Sustained Actions.

Jakub Lyskawa, Pawel Wawrzynski

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

Emergency action termination for immediate reaction in hierarchical reinforcement learning.

Michal Bortkiewicz, Jakub Lyskawa, Pawel Wawrzynski, Mateusz Ostaszewski, Artur Grudkowski, Tomasz Trzcinski

CoRR, 2022

Reinforcement learning with experience replay and adaptation of action dispersion.

Pawel Wawrzynski, Wojciech Masarczyk, Mateusz Ostaszewski

CoRR, 2022

Graph autoencoder with constant dimensional latent space.

Adam Malkowski, Jakub Grzechocinski, Pawel Wawrzynski

CoRR, 2022

Logarithmic Continual Learning.

Wojciech Masarczyk, Pawel Wawrzynski, Daniel Marczak, Kamil Deja, Tomasz Trzcinski

IEEE Access, 2022

Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning.

Kamil Deja, Pawel Wawrzynski, Wojciech Masarczyk, Daniel Marczak, Tomasz Trzcinski

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

ReGAE: Graph Autoencoder Based on Recursive Neural Networks.

Adam Malkowski, Jakub Grzechocinski, Pawel Wawrzynski

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Reinforcement Learning for on-line Sequence Transformation.

Grzegorz Rypesc, Lukasz Lepak, Pawel Wawrzynski

Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 2022

2021

Multiband VAE: Latent Space Partitioning for Knowledge Consolidation in Continual Learning.

Kamil Deja, Pawel Wawrzynski, Daniel Marczak, Wojciech Masarczyk, Tomasz Trzcinski

CoRR, 2021

Deep Memory Update.

Lukasz Neumann, Pawel Wawrzynski

CoRR, 2021

BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning.

Kamil Deja, Pawel Wawrzynski, Daniel Marczak, Wojciech Masarczyk, Tomasz Trzcinski

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Automatic hyperparameter tuning in on-line learning: Classic Momentum and ADAM.

Pawel Wawrzynski, Pawel Zawistowski, Lukasz Lepak

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

DCT-Conv: Coding filters in convolutional networks with Discrete Cosine Transform.

Karol Cheinski, Pawel Wawrzynski

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Framework for Reinforcement Learning with Autocorrelated Actions.

Marcin Szulc, Jakub Lyskawa, Pawel Wawrzynski

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

Machine Learning-Based Predictions of Customers' Decisions in Car Insurance.

Lukasz Neumann, Robert M. Nowak, Rafal Okuniewski, Pawel Wawrzynski

Appl. Artif. Intell., 2019

Numerosity Representation in InfoGAN: An Empirical Study.

Andrea Zanetti, Alberto Testolin, Marco Zorzi, Pawel Wawrzynski

Proceedings of the Advances in Computational Intelligence, 2019

Efficient on-line learning with diagonal approximation of loss function Hessian.

Pawel Wawrzynski

Proceedings of the International Joint Conference on Neural Networks, 2019

2017

ASD+M: Automatic parameter tuning in stochastic optimization and on-line learning.

Pawel Wawrzynski

Neural Networks, 2017

Parameter-Free On-line Deep Learning.

Pawel Wawrzynski

Proceedings of the Automation 2017, 2017

2015

Robust estimation of walking robots velocity and tilt using proprioceptive sensors data fusion.

Pawel Wawrzynski, Jakub Mozaryn, Jan Klimaszewski

Robotics Auton. Syst., 2015

Robot's velocity and tilt estimation through computationally efficient fusion of proprioceptive sensors readouts.

Pawel Wawrzynski

Proceedings of the 20th International Conference on Methods and Models in Automation and Robotics, 2015

Comparison of two efficient control strategies for two-wheeled balancing robot.

Michal Majczak, Pawel Wawrzynski

Proceedings of the 20th International Conference on Methods and Models in Automation and Robotics, 2015

2014

Reinforcement Learning with Experience Replay for Model-Free Humanoid Walking Optimization.

Pawel Wawrzynski

Int. J. Humanoid Robotics, 2014

Design process and experimental verification of the quadruped robot wave gait.

Jakub Mozaryn, Jan Klimaszewski, Pawel Kolodziejczyk, Dariusz Swieczkowski-Feiz, Pawel Wawrzynski

Proceedings of the 19th International Conference On Methods and Models in Automation and Robotics, 2014

2013

Robust velocity estimation for legged robot using on-board sensors data fusion.

Pawel Wawrzynski, Jakub Mozaryn, Jan Klimaszewski

Proceedings of the 18th International Conference on Methods & Models in Automation & Robotics, 2013

Learning population of spiking neural networks with perturbation of conductances.

Piotr Suszynski, Pawel Wawrzynski

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

dotRL: A platform for rapid Reinforcement Learning methods development and validation.

Bartosz Papis, Pawel Wawrzynski

Proceedings of the 2013 Federated Conference on Computer Science and Information Systems, 2013

2012

Autonomous Reinforcement Learning with Experience Replay for Humanoid Gait Optimization.

Pawel Wawrzynski

Proceedings of the 3rd International Neural Network Society Winter Conference, 2012

2011

Fixed point method for autonomous on-line neural network training.

Pawel Wawrzynski, Bartosz Papis

Neurocomputing, 2011

2010

Fixed point method of step-size estimation for on-line neural network training.

Pawel Wawrzynski

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

Real-time reinforcement learning by sequential Actor-Critics and experience replay.

Pawel Wawrzynski

Neural Networks, 2009

A Cat-Like Robot Real-Time Learning to Run.

Pawel Wawrzynski

Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

2008

Predictive Control for Artificial Intelligence in Computer Games.

Pawel Wawrzynski, Jaroslaw Arabas, Pawel Cichosz

Proceedings of the Artificial Intelligence and Soft Computing, 2008

2007

Reinforcement Learning in Fine Time Discretization.

Pawel Wawrzynski

Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

2005

Reinforcement Learning in Quasi-Continuous Time.

Pawel Wawrzynski, Andrzej Pacut

Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

2004

Intensive versus Non-intensive Actor-Critic Reinforcement Learning Algorithms.

Pawel Wawrzynski, Andrzej Pacut

Proceedings of the Artificial Intelligence and Soft Computing, 2004