| 2026 | ICAART | SACn: Soft Actor-Critic with n-step Returns. | Jakub Lyskawa, Jakub Lewandowski, Pawel Wawrzynski |
| 2024 | ICAART | Subgoal Reachability in Goal Conditioned Hierarchical Reinforcement Learning. | Michal Bortkiewicz, Jakub Lyskawa, Pawel Wawrzynski, Mateusz Ostaszewski, Artur Grudkowski, Bartlomiej Sobieski, Tomasz Trzcinski |
| 2024 | ICCS | Graph Vertex Embeddings: Distance, Regularization and Community Detection. | Radoslaw Nowak, Adam Malkowski, Daniel Cieslak, Piotr A. Sokl, Pawel Wawrzynski |
| 2023 | ICONIP | Actor-Critic with Variable Time Discretization via Sustained Actions. | Jakub Lyskawa, Pawel Wawrzynski |
| 2023 | IJCNN | Least Redundant Gated Recurrent Neural Network. | Lukasz Neumann, Lukasz Lepak, Pawel Wawrzynski |
| 2022 | FedCSIS | Reinforcement Learning for on-line Sequence Transformation. | Grzegorz Rypesc, Lukasz Lepak, Pawel Wawrzynski |
| 2022 | ICONIP | ReGAE: Graph Autoencoder Based on Recursive Neural Networks. | Adam Malkowski, Jakub Grzechocinski, Pawel Wawrzynski |
| 2022 | IJCAI | Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning. | Kamil Deja, Pawel Wawrzynski, Wojciech Masarczyk, Daniel Marczak, Tomasz Trzcinski |
| 2021 | IJCNN | BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning. | Kamil Deja, Pawel Wawrzynski, Daniel Marczak, Wojciech Masarczyk, Tomasz Trzcinski |
| 2020 | ICONIP | A Framework for Reinforcement Learning with Autocorrelated Actions. | Marcin Szulc, Jakub Lyskawa, Pawel Wawrzynski |
| 2020 | IJCNN | DCT-Conv: Coding filters in convolutional networks with Discrete Cosine Transform. | Karol Cheinski, Pawel Wawrzynski |
| 2020 | IJCNN | Automatic hyperparameter tuning in on-line learning: Classic Momentum and ADAM. | Pawel Wawrzynski, Pawel Zawistowski, Lukasz Lepak |
| 2019 | IJCNN | Efficient on-line learning with diagonal approximation of loss function Hessian. | Pawel Wawrzynski |
| 2019 | IWANN | Numerosity Representation in InfoGAN: An Empirical Study. | Andrea Zanetti, Alberto Testolin, Marco Zorzi, Pawel Wawrzynski |
| 2015 | MMAR | Comparison of two efficient control strategies for two-wheeled balancing robot. | Michal Majczak, Pawel Wawrzynski |
| 2015 | MMAR | Robot's velocity and tilt estimation through computationally efficient fusion of proprioceptive sensors readouts. | Pawel Wawrzynski |
| 2014 | MMAR | Design process and experimental verification of the quadruped robot wave gait. | Jakub Mozaryn, Jan Klimaszewski, Pawel Kolodziejczyk, Dariusz Swieczkowski-Feiz, Pawel Wawrzynski |
| 2013 | FedCSIS | dotRL: A platform for rapid Reinforcement Learning methods development and validation. | Bartosz Papis, Pawel Wawrzynski |
| 2013 | IJCNN | Learning population of spiking neural networks with perturbation of conductances. | Piotr Suszynski, Pawel Wawrzynski |
| 2013 | MMAR | Robust velocity estimation for legged robot using on-board sensors data fusion. | Pawel Wawrzynski, Jakub Mozaryn, Jan Klimaszewski |
| 2010 | IJCNN | Fixed point method of step-size estimation for on-line neural network training. | Pawel Wawrzynski |
| 2008 | ICAISC | Predictive Control for Artificial Intelligence in Computer Games. | Pawel Wawrzynski, Jaroslaw Arabas, Pawel Cichosz |
| 2004 | ICAISC | Intensive versus Non-intensive Actor-Critic Reinforcement Learning Algorithms. | Pawel Wawrzynski, Andrzej Pacut |
| 2004 | IJCNN | Model-free off-policy reinforcement learning in continuous environment. | Pawel Wawrzynski, Andrzej Pacut |