Książki

1. P.Wawrzynski, "Podstawy Sztucznej Inteligencji," Oficyna Wydawnicza Politechniki Warszawskiej, 2014.
2. P.Wawrzynski, "Sterowanie Adaptacyjne i Uczenie Maszynowe," Politechnika Warszawska, 2012.
3. P.Wawrzynski, "Systemy adaptacyjne i uczące się - preskrypt wykładu," Oficyna Wydawnicza Politechniki Warszawskiej, 2009.

Artykuły w czasopismach

1. P.Wawrzynski, "Control policy with autocorrelated noise in reinforcement learning for robotics", International Journal of Machine Learning and Computing, Vol. 5, No. 2, pp. 91-95, IACSIT Press, 2015.
2. P.Wawrzynski, J.Mozaryn, J.Klimaszewski, "Robust estimation of walking robots velocity and tilt using proprioceptive sensors data fusion", Robotics and Autonomous Systems, Elsevier, vol. 66, pp. 44-54, 2015.
3. P.Wawrzynski, "Reinforcement Learning with Experience Replay for Model-Free Humanoid Walking Optimization," International Journal of Humanoid Robotics, vol. 11, no. 03, pp. 1450024, World Scientific, 2014.
4. P.Wawrzynski, A.K.Tanwani, "Autonomous Reinforcement Learning with Experience Replay," Neural Networks 41, pp. 156-167, Elsevier, 2013.
5. P.Wawrzynski, B.Papis, "Fixed point method for autonomous on-line neural network training," Neurocomputing 74, pp. 2893-2905, Elsevier, 2011.
6. Michał Kudelski and Andrzej Pacut, "Ant Agents with Distributed Knowledge Applied to Adaptive Control of a Nonstationary Traffic in Ad-Hoc Networks", Artificial Intelligence and Soft Computing, Lecture Notes in Artificial Intelligence, Vol. 6114, str. 289-296, Springer-Verlag, 2010
7. Michał Kudelski and Andrzej Pacut, "A Generalized, Location-Based Model of Connections in Ad-Hoc Networks Improving the Performance of Ant Routing", Applications of Evolutionary Computation, Lecture Notes in Computer Science, Vol. 6025, str. 91-100, Springer-Verlag, 2010
8. Michał Kudelski and Andrzej Pacut, "Ant Routing With Distributed Geographical Localization of Knowledge in Ad-Hoc Networks", Applications of Evolutionary Computation, Lecture Notes in Computer Science, Vol. 5484, str. 111-116, Springer-Verlag, 2009
9. P.Wawrzynski, "Real-Time Reinforcement Learning by Sequential Actor-Critics and Experience Replay," Neural Networks 22, pp. 1484-1497, Elsevier, 2009.
10. P.Wawrzynski, J. Arabas, P. Cichosz "Predictive Control for Artificial Intelligence in Computer Game," Lecture Notes in Artificial Intelligence 5097, pp. 1137-1148, Springer-Verlag, 2008.
11. M. Gadomska-Kudelska, ?Algorytmy mrówkowe w zastosowaniu do
    adaptacyjnego routingu w sieciach telekomunikacyjnych?, Przegląd
    Telekomunikacyjny, 8-9 2008, pp. 1173-1182, 2008.
12. M. Kudelski, "Sterowanie rutingiem w sieciach ad-hoc z wykorzystaniem
    algorytmów mrówkowych z geograficzną lokalizacją wiedzy" , Przegląd
    Telekomunikacyjny, 8-9 2008, pp. 1183-1193, 2008.
13. M. Gadomska, A. Pacut, "Performance of Ant Routing Algorithms When
    Using TCP" , Applications of Evolutionary Computing, LNCS 4448,
    Springer-Verlag, pp. 1-10, 2007.
14. M. Kudelski, A. Pacut, " Ant Routing With Geographical Localization of
    Knowledge in Ad-Hoc Networks" , Applications of Evolutionary Computing,
    LNCS 5484, Springer-Verlag, pp. 111 116, 2009.
15. M. Gadomska, A. Pacut, " Recent Progress in Ant Algorithms for Fixed
    Telecommunication Networks: A Review" , Evolutionary Computation and Global
    Optimization 2007, Prace Naukowe Politechniki Warszawskiej, Elektronika z.
    160, pp. 79-89, 2007.
16. M. Kudelski, A. Pacut, " Learning methods in ad-hoc networks: a review",
    Evolutionary Computation and Global Optimization 2007, Prace Naukowe
    Politechniki Warszawskiej, Elektronika z. 160, pp. 153-163, 2007.

Materiały konferencyjne

1. P.Wawrzynski, "Robot’s Velocity and Tilt Estimation Through Computationally Efficient Fusion of Proprioceptive Sensors Readouts", Proceedings of the 10th International Conference on Methods and Models in Automation and Robotics, MMAR, pp. 738-743, 2015.
2. M.Majczak, P.Wawrzynski, "Comparison of two efficient control strategies for two-wheeled balancing robot", Proceedings of the 10th International Conference on Methods and Models in Automation and Robotics, MMAR, pp. 744-749, 2015.
3. B.Papis, P.Wawrzynski, "dotRL: A platform for rapid Reinforcement Learning methods development and validation," Proceedings of the Federated Conference on Computer Science and Information Systems, pp. 129-136, 2013.
4. P.Wawrzynski, J.Mozaryn, J.Klimaszewski, "Robust velocity estimation for legged robot using on-board sensors data fusion," Proceedings of the International Conference on Methods and Models in Automation and Robotics (MMAR), August 26-29, 2013, Międzyzdroje, Poland, pp. 717-722, IEEE, 2013.
5. P.Suszynski, P.Wawrzynski, "Learning population of spiking neural networks with perturbation of conductances," Proceedings of the International Joint Conference on Neural Networks, August 4-9, 2013, Dallas TX, USA, pp. 332-337, IEEE, 2013.
6. P.Wawrzynski, "Autonomous Reinforcement Learning with Experience Replay for Humanoid Gait Optimization," Proceedings of the International Neural Network Society Winter Conference (INNS-WC2012), pp. 205-211, Elsevier, 2012.
7. P.Wawrzynski, "Fixed Point Method of Step-size estimation for on-line neural network training," Proceedings of WCCI 2010 IEEE World Congress on Computational Intelligence, July 18-23, 2010, Barcelona, Spain, IEEE, pp. 2012-2017.
8. P.Wawrzynski, "A Cat-Like Robot Real-Time Learning to Run," Lecture Notes in Computer Science 5495 (Proceedings of ICANNGA 2009), pp. 380-390, Springer-Verlag.
9. M. Gadomska-Kudelska, M. Kudelski, A. Pacut, "Statistical Analysis of
   Packet Delay in Ad-Hoc Networks of Mobile Robots" , Proc. of IEEE SIBIRCON,
   pp. 463-468, 2008.
10. M. Kudelski, M. Gadomska-Kudelska, A. Pacut, " Geographical Cells
    Routing in Ad-Hoc Networks of Mobile Robots ", Proc. of IEEE MELECON, pp.
    374 379, 2008.
11. M. Gadomska-Kudelska, "Statistical Analysis of Ant Routing Packet Delay in Telecommunication Networks", IEEE Workshop on Bio-Inspired Signal and Image Processing BISIP'08, 17.05.2008, Warszawa.
12. P.Wawrzynski, A.Pacut "Truncated Importance Sampling for Reinforcement Learning with Experience Replay," Proceedings of the International Multiconference on Computer Science and Information Technology, pp. 305-315, 2007.
13. P.Wawrzynski, "Learning to Control a 6-Degree-of-Freedom Walking Robot," Proceedings of EUROCON 2007 The International Conference on Computer as a Tool, pp. 698-705, 2007.
14. P.Wawrzynski, "Reinforcement Learning in Fine Time Discretization," Lecture Notes in Computer Science 4431 (Proceedings of ICANNGA 2007), pp. 470-479, 2007.
15. M. Kudelski, A. Pacut, Geographical Cells: Location-Aware Adaptive
    Routing Scheme for Ad-Hoc Networks," Proc. EUROCON 2007 The International
    Conference on Computer as a Tool, pp. 649-656, 2007.
16. A. Pacut, M. Gadomska, A. Igielski, Ant-Routing vs. Q-Routing in
    Telecommunication Networks , Proceedings of the 20-th ECMS Conference,
    Bonn, Germany, pp. 67-72, 2006.
17. P.Wawrzynski, A.Pacut, "Balanced Importance Sampling Estimation," Proceedings of the 11th International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU), Paris, July 2-7, 2006, pp. 66-73.
18. P.Wawrzynski, A.Pacut, "Model-free off-policy reinforcement learning in continuous environment," Proceedings of the International Joint Conference on Neural Networks, Budapest, July 2004, pp. 1091-1096.
19. P.Wawrzynski, A.Pacut, "Intensive versus nonintensive actor-critic algorithms of reinforcement learning,"Lecture Notes in Artificial Intelligence 3070 (Proceedings of the 7th Int. Conf. on Artificial Intelligence and Soft Computing), pp. 934-941, Springer-Verlag, 2004.
20. P.Wawrzynski, A.Pacut, "A simple actor-critic algorithm for continuous environments," Proceedings of the 10th IEEE Int. Conf. on Methods and Models in Automation and Robotics, August 2004, pp. 1143-1149.
21. P.Wawrzynski, P.Podsiadly, G.Lehmann, "IOT Methodology of Frequency Assignment in Cellular Network," Proceedings of the MOST International Conference, October 2002, pp. 313-324.
22. P.Wawrzynski, A.Pacut, "Modeling of distributions with neural approximation of conditional quantiles," Proceedings of the 2nd IASTED Int. Conf. Artificial Intelligence and Applications, Malaga, Spain, September 2002, pp. 539-543.

Raporty i streszczenia

1. P.Wawrzynski, "Symulacja Płaskich Łańcuchów Kinematycznych," Raport nr 05-06 Instytutu Automatyki i Informatyki Stosowanej, Listopad 2005. (Eng. "Planar Kinematic Chain Simulation," Report no 05-06 of the Institute of Control and Computation Engineering, November, 2005. )