Paweł Wawrzyński

About Paweł Wawrzyński

Paweł Wawrzyński, With an exceptional h-index of 11 and a recent h-index of 8 (since 2020), a distinguished researcher at Politechnika Warszawska, specializes in the field of artificial intelligence, neural networks, reinforcement learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Graph Vertex Embeddings: Distance, Regularization and Community Detection

Subgoal Reachability in Goal Conditioned Hierarchical Reinforcement Learning

Least Redundant Gated Recurrent Neural Network

Reinforcement learning for optimization of energy trading strategy

Actor-Critic with variable time discretization via sustained actions

Multiple Dimensional Encoding/Modulation Shift-and-Addition Design for Distributed Systems

Przeszukiwanie i optymalizacja

Reinforcement Learning for on-line Sequence Transformation

Paweł Wawrzyński Information

University

Position

___

Citations(all)

728

Citations(since 2020)

484

Cited By

349

hIndex(all)

11

hIndex(since 2020)

8

i10Index(all)

16

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Paweł Wawrzyński Skills & Research Interests

artificial intelligence

neural networks

reinforcement learning

Top articles of Paweł Wawrzyński

Title

Journal

Author(s)

Publication Date

Graph Vertex Embeddings: Distance, Regularization and Community Detection

arXiv preprint arXiv:2404.10784

Radosław Nowak

Adam Małkowski

Daniel Cieślak

Piotr Sokół

Paweł Wawrzyński

2024/4/9

Subgoal Reachability in Goal Conditioned Hierarchical Reinforcement Learning

Michał Bortkiewicz

Jakub Łyskawa

Paweł Wawrzyński

Mateusz Ostaszewski

Artur Grudkowski

...

2024

Least Redundant Gated Recurrent Neural Network

Łukasz Neumann

Łukasz Lepak

Paweł Wawrzyński

2023/6/18

Reinforcement learning for optimization of energy trading strategy

arXiv preprint arXiv:2303.16266

Łukasz Lepak

Paweł Wawrzyński

2023/3/28

Actor-Critic with variable time discretization via sustained actions

Jakub Łyskawa

Paweł Wawrzyński

2023/11/14

Multiple Dimensional Encoding/Modulation Shift-and-Addition Design for Distributed Systems

Wireless Communications and Mobile Computing

Mingjun Dai

Chanting Zhang

Zhaoyan Hong

Paweł Wawrzyński

Tomasz Trzciński

...

2022/9/15

Przeszukiwanie i optymalizacja

Rafał Biedrzycki

Wiktor B Daszczuk

Robert Marek Nowak

Paweł Wawrzyński

2022

Reinforcement Learning for on-line Sequence Transformation

Grzegorz Rypeść

Łukasz Lepak

Paweł Wawrzyński

2022/9/4

Graph autoencoder with constant dimensional latent space

arXiv preprint arXiv:2201.12165

Adam Małkowski

J Grzechociński

P Wawrzyński

2022

Deep Memory Update

Łukasz Neumann

Łukasz Lepak

Grzegorz Rypesc

Paweł Wawrzynski

2022

Reinforcement learning with experience replay and adaptation of action dispersion

arXiv preprint arXiv:2208.00156

Paweł Wawrzyński

Wojciech Masarczyk

Mateusz Ostaszewski

2022/7/30

ReGAE: Graph autoencoder based on recursive neural networks

Adam Małkowski

Jakub Grzechociński

Paweł Wawrzyński

2022/11/22

Emergency action termination for immediate reaction in hierarchical reinforcement learning

arXiv preprint arXiv:2211.06351

Michał Bortkiewicz

Jakub Łyskawa

Paweł Wawrzyński

Mateusz Ostaszewski

Artur Grudkowski

...

2022/11/11

ACERAC: efficient reinforcement learning in fine time discretization

IEEE Transactions on Neural Networks and Learning Systems

Jakub Łyskawa

Paweł Wawrzyński

2022/7/20

Logarithmic continual learning

IEEE Access

Wojciech Masarczyk

Paweł Wawrzyński

Daniel Marczak

Kamil Deja

Tomasz Trzciński

2022/11/1

Sieci neuronowe

Karol Piczak

Paweł Wawrzyński

2022

Cyber security in smart cities: a review of deep learning-based applications and case studies

Sustainable Cities and Society

Dongliang Chen

Paweł Wawrzynski

Zhihan Lv

2021/3/1

Binplay: A binary latent autoencoder for generative replay continual learning

Kamil Deja

Paweł Wawrzyński

Daniel Marczak

Wojciech Masarczyk

Tomasz Trzciński

2021/7/18

Multiband vae: Latent space alignment for knowledge consolidation in continual learning

arXiv preprint arXiv:2106.12196

Kamil Deja

Paweł Wawrzyński

Wojciech Masarczyk

Daniel Marczak

Tomasz Trzciński

2021/6/23

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

Paweł Wawrzyński

Paweł Zawistowski

Łukasz Lepak

2020/7/19

See List of Professors in Paweł Wawrzyński University(Politechnika Warszawska)

Co-Authors

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