Fast and Efficient Reinforcement Learning with Truncated Temporal Differences. - Pawel Cichosz; Jan J. Mulawka (ICML, 1995)

Truncating Temporal Differences: On the Efficient Implementation of TD(lambda) for Reinforcement Learning. - Pawel Cichosz (J. Artif. Intell. Res., 1995)

Integrated Learning and Planning Based on Truncating Temporal Differences. - Pawel Cichosz (ECML, 1997)

An Analysis of Experience Replay in Temporal Difference Learning. - Pawel Cichosz (Cybern. Syst., 1999)

TD(lambda) learning without eligibility traces: a theoretical analysis. - Pawel Cichosz (J. Exp. Theor. Artif. Intell., 1999)

A Distributed Learning Control System for Elevator Groups. - Tomasz Walczak; Pawel Cichosz (ICAISC, 2006)

Predictive Control for Artificial Intelligence in Computer Games. - Pawel Wawrzynski; Jaroslaw Arabas; Pawel Cichosz (ICAISC, 2008)

Imitation learning of car driving skills with decision trees and random forests. - Pawel Cichosz; Lukasz Pawelczak (Int. J. Appl. Math. Comput. Sci., 2014)

A Case Study in Text Mining of Discussion Forum Posts: Classification with Bag of Words and Global Vectors. - Pawel Cichosz (Int. J. Appl. Math. Comput. Sci., 2018)

Urban Crime Risk Prediction Using Point of Interest Data. - Pawel Cichosz (ISPRS Int. J. Geo Inf., 2020)

Unsupervised modeling anomaly detection in discussion forums posts using global vectors for text representation. - Pawel Cichosz (Nat. Lang. Eng., 2020)

Compressor Schedule Optimization for a Refrigerated Warehouse Using Metaheuristic Algorithms. - Rafal Biedrzycki; Kamil Kwiatkowski; Pawel Cichosz (CEC, 2021)

Application of ML Algorithms for Prediction of the QoT in Optical Networks with Imbalanced and Incomplete Data. - Pawel Cichosz; Stanislaw Kozdrowski; Slawomir Sujecki (SoftCOM, 2021)

Learning to Classify DWDM Optical Channels from Tiny and Imbalanced Data. - Pawel Cichosz; Stanislaw Kozdrowski; Slawomir Sujecki (Entropy, 2021)

Machine Learning Algorithms for Prediction of the Quality of Transmission in Optical Networks. - Stanislaw Kozdrowski; Pawel Cichosz; Piotr Paziewski; Slawomir Sujecki (Entropy, 2021)

Machine Learning Application to Transmission Quality Assessment in Optical Networks. - Stanislaw Kozdrowski; Pawel Cichosz; Slawomir Sujecki (SoftCOM, 2022)

Machine learning based system for the automation of systematic literature reviews. - Radoslaw Pytlak; Barbara Bukhvalova; Pawel Cichosz; Bartlomiej Fajdek; Danica Grahek-Ogden; Bogdan Jastrzebski; Mehak Khan; Jacek Postupolski; Anis Yazidi; Robert Waszkowski (BIBM, 2023)

Bag of words and embedding text representation methods for medical article classification. - Pawel Cichosz (Int. J. Appl. Math. Comput. Sci., 2023)

A Novel Routing Algorithm for Optical Networks Based on ML Methods. - Pawel Krysztofik; Pawel Cichosz; Slawomir Sujecki; Stanislaw Kozdrowski (ICCS (Workshops 1), 2025)

Active learning of optical path classification. - Pawel Cichosz (Eng. Appl. Artif. Intell., 2025)