Jakub Lyskawa

According to our database, Jakub Lyskawa authored at least 9 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Combating Noisy Labels in Object Detection Datasets.

Krystian Chachula, Bartlomiej Olber, Jakub Lyskawa, Adam Popowicz, Krystian Radlak

Mach. Learn., April, 2026

SACn: Soft Actor-Critic with n-step Returns.

Jakub Lyskawa, Jakub Lewandowski, Pawel Wawrzynski

Proceedings of the 18th International Conference on Agents and Artificial Intelligence, 2026

2024

ACERAC: Efficient Reinforcement Learning in Fine Time Discretization.

Jakub Lyskawa, Pawel Wawrzynski

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Subgoal Reachability in Goal Conditioned Hierarchical Reinforcement Learning.

Michal Bortkiewicz, Jakub Lyskawa, Pawel Wawrzynski, Mateusz Ostaszewski, Artur Grudkowski, Bartlomiej Sobieski, Tomasz Trzcinski

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2023

Actor-Critic with Variable Time Discretization via Sustained Actions.

Jakub Lyskawa, Pawel Wawrzynski

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Detecting Out-of-Distribution Objects Using Neuron Activation Patterns.

Bartlomiej Olber, Krystian Radlak, Krystian Chachula, Jakub Lyskawa, Piotr Fratczak

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Combating noisy labels in object detection datasets.

Krystian Chachula, Adam Popowicz, Jakub Lyskawa, Bartlomiej Olber, Piotr Fratczak, Krystian Radlak

CoRR, 2022

Emergency action termination for immediate reaction in hierarchical reinforcement learning.

Michal Bortkiewicz, Jakub Lyskawa, Pawel Wawrzynski, Mateusz Ostaszewski, Artur Grudkowski, Tomasz Trzcinski

CoRR, 2022

2020

A Framework for Reinforcement Learning with Autocorrelated Actions.

Marcin Szulc, Jakub Lyskawa, Pawel Wawrzynski

Proceedings of the Neural Information Processing - 27th International Conference, 2020