| Cyber security in smart cities: a review of deep learning-based applications and case studies D Chen, P Wawrzynski, Z Lv Sustainable Cities and Society 66, 102655, 2021 | 248 | 2021 |
| Real-time reinforcement learning by sequential actor–critics and experience replay P Wawrzyński Neural networks 22 (10), 1484-1497, 2009 | 140 | 2009 |
| Autonomous reinforcement learning with experience replay P Wawrzyński, AK Tanwani Neural Networks 41, 156-167, 2013 | 73 | 2013 |
| Control policy with autocorrelated noise in reinforcement learning for robotics P Wawrzyński International Journal of Machine Learning and Computing 5, 91-95, 2015 | 69 | 2015 |
| Learning to control a 6-degree-of-freedom walking robot P Wawrzynski EUROCON 2007-The International Conference on" Computer as a Tool", 698-705, 2007 | 34 | 2007 |
| A Cat-Like Robot Real-Time Learning to Run P Wawrzynski Lecture Notes in Computer Science 5495, 380-390, 2009 | 23 | 2009 |
| Model-free off-policy reinforcement learning in continuous environment P Wawrzynski, A Pacut 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No …, 2004 | 21 | 2004 |
| Robust estimation of walking robots velocity and tilt using proprioceptive sensors data fusion P Wawrzyński, J Możaryn, J Klimaszewski Robotics and Autonomous Systems 66, 44-54, 2015 | 19 | 2015 |
| Reinforcement Learning with Experience Replay for Model-Free Humanoid Walking Optimization P Wawrzyński International Journal of Humanoid Robotics 11 (3), 1450024, 2014 | 16 | 2014 |
| DCT-Conv: Coding filters in convolutional networks with Discrete Cosine Transform K Chęiński, P Wawrzyński 2020 International Joint Conference on Neural Networks (IJCNN), 1-6, 2020 | 14 | 2020 |
| Comparison of two efficient control strategies for two-wheeled balancing robot M Majczak, P Wawrzyński 2015 20th International Conference on Methods and Models in Automation and …, 2015 | 12 | 2015 |
| Fixed point method for autonomous on-line neural network training P Wawrzyński, B Papis Neurocomputing 74 (17), 2893-2905, 2011 | 12 | 2011 |
| Intensive reinforcement learning P Wawrzyński | 12 | 2005 |
| dotRL: A platform for rapid Reinforcement Learning methods development and validation B Papis, P Wawrzynski Federated Conference on Computer Science and Information Systems, 129-136, 2013 | 11 | 2013 |
| A simple actor-critic algorithm for continuous environments P Wawrzynski, A Pacut Proceedings of the 10th IEEE Int. Conf. on Methods and Models in Automation …, 2003 | 11 | 2003 |
| Machine Learning-based predictions of customers’ decisions in car insurance Ł Neumann, RM Nowak, R Okuniewski, P Wawrzyński Applied Artificial Intelligence 33 (9), 817-828, 2019 | 10 | 2019 |
| Robust velocity estimation for legged robot using on-board sensors data fusion P Wawrzynski, J Mozaryn, J Klimaszewski International Conference on Methods and Models in Automation and Robotics …, 2013 | 10 | 2013 |
| Truncated importance sampling for reinforcement learning with experience replay P Wawrzynski, A Pacut Proc. CSIT Int. Multiconf, 305-315, 2007 | 10 | 2007 |
| Autonomous Reinforcement Learning with Experience Replay for Humanoid Gait Optimization P Wawrzyński International Neural Network Society Winter Conference (INNS-WC2012) 13, 205-211, 2012 | 9 | 2012 |
| Numerosity representation in infogan: An empirical study A Zanetti, A Testolin, M Zorzi, P Wawrzynski Advances in Computational Intelligence: 15th International Work-Conference …, 2019 | 8 | 2019 |
Andrzej PacutWarsaw University of Technology, NASKVerified email at ia.pw.edu.pl
