Automatic hyperparameter tuning in on-line learning: Classic Momentum and ADAM. - Pawel Wawrzynski; Pawel Zawistowski; Lukasz Lepak (IJCNN, 2020)

Generalisation Gap of Keyword Spotters in a Cross-Speaker Low-Resource Scenario. - Lukasz Lepak; Kacper Radzikowski; Robert Nowak 002; Karol J. Piczak (Sensors, 2021)

Reinforcement Learning for on-line Sequence Transformation. - Grzegorz Rypesc; Lukasz Lepak; Pawel Wawrzynski (FedCSIS, 2022)

Least Redundant Gated Recurrent Neural Network. - Lukasz Neumann; Lukasz Lepak; Pawel Wawrzynski (IJCNN, 2023)

Reinforcement learning for optimization of energy trading strategy. - Lukasz Lepak; Pawel Wawrzynski (CoRR, 2023)

Reinforcement Learning Meets Microeconomics: Learning to Designate Price-Dependent Supply and Demand for Automated Trading. - Lukasz Lepak; Pawel Wawrzynski (ECML/PKDD (9), 2024)

EnEnv 1.0: Energy Grid Environment for Multi-Agent Reinforcement Learning Benchmarking. - Dominik Jacek Bogucki; Lukasz Lepak; Sonam Parashar; Bartlomiej Blachowski; Pawel Wawrzynski (AAMAS, 2025)