Pawel Wawrzynski

59 papers A* 1A 1B 8C 2Misc 6Journal 28Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	SACn: Soft Actor-Critic with n-step Returns. ICAART (3) Jakub Lyskawa, Jakub Lewandowski, Pawel Wawrzynski
2025	A	`conf`	EnEnv 1.0: Energy Grid Environment for Multi-Agent Reinforcement Learning Benchmarking. AAMAS Dominik Jacek Bogucki, Lukasz Lepak, Sonam Parashar, Bartlomiej Blachowski, Pawel Wawrzynski
2025	J	`jnl`	HINT: Hypernetwork approach to training weight interval regions in continual learning. Inf. Sci. Patryk Krukowski, Anna Bielawska, Kamil Ksiazek, Pawel Wawrzynski, Pawel Batorski, Przemyslaw Spurek
2025	J	`jnl`	InTAct: Interval-based Task Activation Consolidation for Continual Learning. CoRR Patryk Krukowski, Jan Miksa, Piotr Helm, Jacek Tabor, Pawel Wawrzynski, Przemyslaw Spurek
2025	J	`jnl`	MACTAS: Self-Attention-Based Module for Inter-Agent Communication in Multi-Agent Reinforcement Learning. CoRR Maciej Wojtala, Bogusz Stefanczyk, Dominik Jacek Bogucki, Lukasz Lepak, Jakub Strykowski, Pawel Wawrzynski
2025	J	`jnl`	SACn: Soft Actor-Critic with n-step Returns. CoRR Jakub Lyskawa, Jakub Lewandowski, Pawel Wawrzynski
2025	J	`jnl`	Semi-Supervised Diversity-Aware Domain Adaptation for 3D Object detection. CoRR Bartlomiej Olber, Jakub Winter, Pawel Wawrzynski, Andrii Gamalii, Daniel Górniak, Marcin Lojek, Robert M. Nowak, Krystian Radlak
2024	J	`jnl`	ACERAC: Efficient Reinforcement Learning in Fine Time Discretization. IEEE Trans. Neural Networks Learn. Syst. Jakub Lyskawa, Pawel Wawrzynski
2024	—	`conf`	Graph Vertex Embeddings: Distance, Regularization and Community Detection. ICCS (6) Radoslaw Nowak, Adam Malkowski, Daniel Cieslak, Piotr A. Sokól, Pawel Wawrzynski
2024	J	`jnl`	Graph Vertex Embeddings: Distance, Regularization and Community Detection. CoRR Radoslaw Nowak, Adam Malkowski, Daniel Cieslak, Piotr A. Sokól, Pawel Wawrzynski
2024	J	`jnl`	HyperInterval: Hypernetwork approach to training weight interval regions in continual learning. CoRR Patryk Krukowski, Anna Bielawska, Kamil Ksiazek, Pawel Wawrzynski, Pawel Batorski, Przemyslaw Spurek
2024	—	`conf`	Reinforcement Learning Meets Microeconomics: Learning to Designate Price-Dependent Supply and Demand for Automated Trading. ECML/PKDD (9) Lukasz Lepak, Pawel Wawrzynski
2024	—	`conf`	Subgoal Reachability in Goal Conditioned Hierarchical Reinforcement Learning. ICAART (1) Michal Bortkiewicz, Jakub Lyskawa, Pawel Wawrzynski, Mateusz Ostaszewski, Artur Grudkowski, Bartlomiej Sobieski, Tomasz Trzcinski
2023	—	`conf`	Actor-Critic with Variable Time Discretization via Sustained Actions. ICONIP (1) Jakub Lyskawa, Pawel Wawrzynski
2023	J	`jnl`	Actor-Critic with variable time discretization via sustained actions. CoRR Jakub Lyskawa, Pawel Wawrzynski
2023	B	`conf`	Least Redundant Gated Recurrent Neural Network. IJCNN Lukasz Neumann, Lukasz Lepak, Pawel Wawrzynski
2023	J	`jnl`	Reinforcement learning for optimization of energy trading strategy. CoRR Lukasz Lepak, Pawel Wawrzynski
2022	J	`jnl`	Emergency action termination for immediate reaction in hierarchical reinforcement learning. CoRR Michal Bortkiewicz, Jakub Lyskawa, Pawel Wawrzynski, Mateusz Ostaszewski, Artur Grudkowski, Tomasz Trzcinski
2022	J	`jnl`	Graph autoencoder with constant dimensional latent space. CoRR Adam Malkowski, Jakub Grzechocinski, Pawel Wawrzynski
2022	J	`jnl`	Logarithmic Continual Learning. IEEE Access Wojciech Masarczyk, Pawel Wawrzynski, Daniel Marczak, Kamil Deja, Tomasz Trzcinski
2022	J	`jnl`	Logarithmic Continual Learning. CoRR Wojciech Masarczyk, Pawel Wawrzynski, Daniel Marczak, Kamil Deja, Tomasz Trzcinski
2022	A*	`conf`	Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning. IJCAI Kamil Deja, Pawel Wawrzynski, Wojciech Masarczyk, Daniel Marczak, Tomasz Trzcinski
2022	—	`conf`	ReGAE: Graph Autoencoder Based on Recursive Neural Networks. ICONIP (4) Adam Malkowski, Jakub Grzechocinski, Pawel Wawrzynski
2022	C	`conf`	Reinforcement Learning for on-line Sequence Transformation. FedCSIS Grzegorz Rypesc, Lukasz Lepak, Pawel Wawrzynski
2022	J	`jnl`	Reinforcement learning with experience replay and adaptation of action dispersion. CoRR Pawel Wawrzynski, Wojciech Masarczyk, Mateusz Ostaszewski
2021	J	`jnl`	ACERAC: Efficient reinforcement learning in fine time discretization. CoRR Pawel Wawrzynski, Jakub Lyskawa
2021	B	`conf`	BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning. IJCNN Kamil Deja, Pawel Wawrzynski, Daniel Marczak, Wojciech Masarczyk, Tomasz Trzcinski
2021	J	`jnl`	Deep Memory Update. CoRR Lukasz Neumann, Pawel Wawrzynski
2021	J	`jnl`	Multiband VAE: Latent Space Partitioning for Knowledge Consolidation in Continual Learning. CoRR Kamil Deja, Pawel Wawrzynski, Daniel Marczak, Wojciech Masarczyk, Tomasz Trzcinski
2021	J	`jnl`	Reinforcement Learning for on-line Sequence Transformation. CoRR Grzegorz Rypesc, Lukasz Lepak, Pawel Wawrzynski
2020	—	`conf`	A Framework for Reinforcement Learning with Autocorrelated Actions. ICONIP (2) Marcin Szulc, Jakub Lyskawa, Pawel Wawrzynski
2020	J	`jnl`	A framework for reinforcement learning with autocorrelated actions. CoRR Marcin Szulc, Jakub Lyskawa, Pawel Wawrzynski
2020	B	`conf`	Automatic hyperparameter tuning in on-line learning: Classic Momentum and ADAM. IJCNN Pawel Wawrzynski, Pawel Zawistowski, Lukasz Lepak
2020	J	`jnl`	BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning. CoRR Kamil Deja, Pawel Wawrzynski, Daniel Marczak, Wojciech Masarczyk, Tomasz Trzcinski
2020	B	`conf`	DCT-Conv: Coding filters in convolutional networks with Discrete Cosine Transform. IJCNN Karol Cheinski, Pawel Wawrzynski
2020	J	`jnl`	DCT-Conv: Coding filters in convolutional networks with Discrete Cosine Transform. CoRR Karol Cheinski, Pawel Wawrzynski
2019	B	`conf`	Efficient on-line learning with diagonal approximation of loss function Hessian. IJCNN Pawel Wawrzynski
2019	J	`jnl`	Machine Learning-Based Predictions of Customers' Decisions in Car Insurance. Appl. Artif. Intell. Lukasz Neumann, Robert M. Nowak, Rafal Okuniewski, Pawel Wawrzynski
2019	—	`conf`	Numerosity Representation in InfoGAN: An Empirical Study. IWANN (2) Andrea Zanetti, Alberto Testolin, Marco Zorzi, Pawel Wawrzynski
2017	J	`jnl`	ASD+M: Automatic parameter tuning in stochastic optimization and on-line learning. Neural Networks Pawel Wawrzynski
2017	—	`conf`	Parameter-Free On-line Deep Learning. AUTOMATION Pawel Wawrzynski
2015	Misc	`conf`	Comparison of two efficient control strategies for two-wheeled balancing robot. MMAR Michal Majczak, Pawel Wawrzynski
2015	Misc	`conf`	Robot's velocity and tilt estimation through computationally efficient fusion of proprioceptive sensors readouts. MMAR Pawel Wawrzynski
2015	J	`jnl`	Robust estimation of walking robots velocity and tilt using proprioceptive sensors data fusion. Robotics Auton. Syst. Pawel Wawrzynski, Jakub Mozaryn, Jan Klimaszewski
2014	Misc	`conf`	Design process and experimental verification of the quadruped robot wave gait. MMAR Jakub Mozaryn, Jan Klimaszewski, Pawel Kolodziejczyk, Dariusz Swieczkowski-Feiz, Pawel Wawrzynski
2014	J	`jnl`	Reinforcement Learning with Experience Replay for Model-Free Humanoid Walking Optimization. Int. J. Humanoid Robotics Pawel Wawrzynski
2013	B	`conf`	Learning population of spiking neural networks with perturbation of conductances. IJCNN Piotr Suszynski, Pawel Wawrzynski
2013	Misc	`conf`	Robust velocity estimation for legged robot using on-board sensors data fusion. MMAR Pawel Wawrzynski, Jakub Mozaryn, Jan Klimaszewski
2013	C	`conf`	dotRL: A platform for rapid Reinforcement Learning methods development and validation. FedCSIS Bartosz Papis, Pawel Wawrzynski
2012	—	`conf`	Autonomous Reinforcement Learning with Experience Replay for Humanoid Gait Optimization. INNS-WC Pawel Wawrzynski
2011	J	`jnl`	Fixed point method for autonomous on-line neural network training. Neurocomputing Pawel Wawrzynski, Bartosz Papis
2010	B	`conf`	Fixed point method of step-size estimation for on-line neural network training. IJCNN Pawel Wawrzynski
2009	—	`conf`	A Cat-Like Robot Real-Time Learning to Run. ICANNGA Pawel Wawrzynski
2009	J	`jnl`	Real-time reinforcement learning by sequential Actor-Critics and experience replay. Neural Networks Pawel Wawrzynski
2008	Misc	`conf`	Predictive Control for Artificial Intelligence in Computer Games. ICAISC Pawel Wawrzynski, Jaroslaw Arabas, Pawel Cichosz
2007	—	`conf`	Reinforcement Learning in Fine Time Discretization. ICANNGA (1) Pawel Wawrzynski
2005	—	`conf`	Reinforcement Learning in Quasi-Continuous Time. CIMCA/IAWTIC Pawel Wawrzynski, Andrzej Pacut
2004	Misc	`conf`	Intensive versus Non-intensive Actor-Critic Reinforcement Learning Algorithms. ICAISC Pawel Wawrzynski, Andrzej Pacut
2004	B	`conf`	Model-free off-policy reinforcement learning in continuous environment. IJCNN Pawel Wawrzynski, Andrzej Pacut