A Framework for Reinforcement Learning with Autocorrelated Actions. - Marcin Szulc; Jakub Lyskawa; Pawel Wawrzynski (ICONIP (2), 2020)

Emergency action termination for immediate reaction in hierarchical reinforcement learning. - Michal Bortkiewicz; Jakub Lyskawa; Pawel Wawrzynski; Mateusz Ostaszewski; Artur Grudkowski; Tomasz Trzcinski (CoRR, 2022)

Combating noisy labels in object detection datasets. - Krystian Chachula; Adam Popowicz; Jakub Lyskawa; Bartlomiej Olber; Piotr Fratczak; Krystian Radlak (CoRR, 2022)

Detecting Out-of-Distribution Objects Using Neuron Activation Patterns. - Bartlomiej Olber; Krystian Radlak; Krystian Chachula; Jakub Lyskawa; Piotr Fratczak (ECAI, 2023)

Actor-Critic with Variable Time Discretization via Sustained Actions. - Jakub Lyskawa; Pawel Wawrzynski (ICONIP (1), 2023)

Subgoal Reachability in Goal Conditioned Hierarchical Reinforcement Learning. - Michal Bortkiewicz; Jakub Lyskawa; Pawel Wawrzynski; Mateusz Ostaszewski; Artur Grudkowski; Bartlomiej Sobieski; Tomasz Trzcinski (ICAART (1), 2024)

ACERAC: Efficient Reinforcement Learning in Fine Time Discretization. - Jakub Lyskawa; Pawel Wawrzynski (IEEE Trans. Neural Networks Learn. Syst., 2024)