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Jakub Lyskawa
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2020 – today
- 2024
- [j1]Jakub Lyskawa
, Pawel Wawrzynski
:
ACERAC: Efficient Reinforcement Learning in Fine Time Discretization. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2719-2731 (2024) - [c4]Michal Bortkiewicz, Jakub Lyskawa, Pawel Wawrzynski, Mateusz Ostaszewski, Artur Grudkowski, Bartlomiej Sobieski, Tomasz Trzcinski:
Subgoal Reachability in Goal Conditioned Hierarchical Reinforcement Learning. ICAART (1) 2024: 221-230 - 2023
- [c3]Bartlomiej Olber, Krystian Radlak, Krystian Chachula, Jakub Lyskawa, Piotr Fratczak:
Detecting Out-of-Distribution Objects Using Neuron Activation Patterns. ECAI 2023: 1803-1810 - [c2]Jakub Lyskawa
, Pawel Wawrzynski
:
Actor-Critic with Variable Time Discretization via Sustained Actions. ICONIP (1) 2023: 476-489 - [i6]Bartlomiej Olber, Krystian Radlak, Krystian Chachula, Jakub Lyskawa, Piotr Fratczak:
Detecting Out-of-distribution Objects Using Neuron Activation Patterns. CoRR abs/2307.16433 (2023) - [i5]Jakub Lyskawa, Pawel Wawrzynski:
Actor-Critic with variable time discretization via sustained actions. CoRR abs/2308.04299 (2023) - 2022
- [i4]Michal Bortkiewicz, Jakub Lyskawa, Pawel Wawrzynski, Mateusz Ostaszewski, Artur Grudkowski, Tomasz Trzcinski:
Emergency action termination for immediate reaction in hierarchical reinforcement learning. CoRR abs/2211.06351 (2022) - [i3]Krystian Chachula, Adam Popowicz, Jakub Lyskawa, Bartlomiej Olber, Piotr Fratczak, Krystian Radlak:
Combating noisy labels in object detection datasets. CoRR abs/2211.13993 (2022) - 2021
- [i2]Pawel Wawrzynski, Jakub Lyskawa:
ACERAC: Efficient reinforcement learning in fine time discretization. CoRR abs/2104.04004 (2021) - 2020
- [c1]Marcin Szulc, Jakub Lyskawa, Pawel Wawrzynski
:
A Framework for Reinforcement Learning with Autocorrelated Actions. ICONIP (2) 2020: 90-101 - [i1]Marcin Szulc, Jakub Lyskawa, Pawel Wawrzynski:
A framework for reinforcement learning with autocorrelated actions. CoRR abs/2009.04777 (2020)
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