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2020 – today
- 2024
[c7]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- [c6]Yash J. Patel, Akash Kundu, Mateusz Ostaszewski, Xavier Bonet-Monroig, Vedran Dunjko, Onur Danaci:
Curriculum reinforcement learning for quantum architecture search under hardware errors. ICLR 2024 - [c5]Michal Nauman, Michal Bortkiewicz, Piotr Milos, Tomasz Trzcinski, Mateusz Ostaszewski, Marek Cygan:
Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning. ICML 2024 - [c4]Maciej Wolczyk, Bartlomiej Cupial, Mateusz Ostaszewski, Michal Bortkiewicz, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos:
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem. ICML 2024 - [i16]Maciej Wolczyk, Bartlomiej Cupial, Mateusz Ostaszewski, Michal Bortkiewicz, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos:
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem. CoRR abs/2402.02868 (2024) - [i15]Yash J. Patel, Akash Kundu, Mateusz Ostaszewski, Xavier Bonet-Monroig, Vedran Dunjko, Onur Danaci:
Curriculum reinforcement learning for quantum architecture search under hardware errors. CoRR abs/2402.03500 (2024) - [i14]Michal Nauman, Michal Bortkiewicz, Mateusz Ostaszewski, Piotr Milos, Tomasz Trzcinski, Marek Cygan:
Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning. CoRR abs/2403.00514 (2024) - [i13]Michal Nauman, Mateusz Ostaszewski, Marek Cygan:
A Case for Validation Buffer in Pessimistic Actor-Critic. CoRR abs/2403.01014 (2024) - [i12]Michal Nauman, Mateusz Ostaszewski, Krzysztof Jankowski, Piotr Milos, Marek Cygan:
Bigger, Regularized, Optimistic: scaling for compute and sample-efficient continuous control. CoRR abs/2405.16158 (2024) - 2023
- [c3]Samuel Kessler, Mateusz Ostaszewski, Michal Pawel Bortkiewicz, Mateusz Zarski, Maciej Wolczyk, Jack Parker-Holder, Stephen J. Roberts, Piotr Milos:
The Effectiveness of World Models for Continual Reinforcement Learning. CoLLAs 2023: 184-204 - [c2]Wojciech Masarczyk, Mateusz Ostaszewski, Ehsan Imani, Razvan Pascanu, Piotr Milos, Tomasz Trzcinski:
The Tunnel Effect: Building Data Representations in Deep Neural Networks. NeurIPS 2023 - [i11]Wojciech Masarczyk, Mateusz Ostaszewski, Ehsan Imani, Razvan Pascanu, Piotr Milos, Tomasz Trzcinski:
The Tunnel Effect: Building Data Representations in Deep Neural Networks. CoRR abs/2305.19753 (2023) - [i10]Akash Kundu, Przemyslaw Bedelek, Mateusz Ostaszewski, Onur Danaci, Yash J. Patel, Vedran Dunjko, Jaroslaw Adam Miszczak:
Enhancing variational quantum state diagonalization using reinforcement learning techniques. CoRR abs/2306.11086 (2023) - [i9]Wojciech Masarczyk, Tomasz Trzcinski, Mateusz Ostaszewski:
On consequences of finetuning on data with highly discriminative features. CoRR abs/2310.19537 (2023) - 2022
- [i8]Pawel Wawrzynski, Wojciech Masarczyk, Mateusz Ostaszewski:
Reinforcement learning with experience replay and adaptation of action dispersion. CoRR abs/2208.00156 (2022) - [i7]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) - 2021
- [j6]Mateusz Ostaszewski
, Edward Grant, Marcello Benedetti:
Structure optimization for parameterized quantum circuits. Quantum 5: 391 (2021) - [c1]Mateusz Ostaszewski, Lea M. Trenkwalder, Wojciech Masarczyk, Eleanor Scerri, Vedran Dunjko:
Reinforcement learning for optimization of variational quantum circuit architectures. NeurIPS 2021: 18182-18194 - [i6]Mateusz Ostaszewski, Lea M. Trenkwalder, Wojciech Masarczyk, Eleanor Scerri, Vedran Dunjko:
Reinforcement learning for optimization of variational quantum circuit architectures. CoRR abs/2103.16089 (2021) - 2020
- [j5]Wojciech Masarczyk, Przemyslaw Glomb, Bartosz Grabowski, Mateusz Ostaszewski:
Effective Training of Deep Convolutional Neural Networks for Hyperspectral Image Classification through Artificial Labeling. Remote. Sens. 12(16): 2653 (2020)
2010 – 2019
- 2019
- [j4]Adam Glos, Jaroslaw Adam Miszczak, Mateusz Ostaszewski:
QSWalk.jl: Julia package for quantum stochastic walks analysis. Comput. Phys. Commun. 235: 414-421 (2019) - [j3]Mateusz Ostaszewski, J. A. Miszczak, Leonardo Banchi, Przemyslaw Sadowski:
Approximation of quantum control correction scheme using deep neural networks. Quantum Inf. Process. 18(5): 126 (2019) - [i5]Wojciech Masarczyk, Przemyslaw Glomb, Bartosz Grabowski, Mateusz Ostaszewski:
Effective transfer learning for hyperspectral image classification with deep convolutional neural networks. CoRR abs/1909.05507 (2019) - 2018
- [j2]Krzysztof Domino, Adam Glos, Mateusz Ostaszewski, Lukasz Pawela, Przemyslaw Sadowski:
Properties of quantum stochastic walks from the asymptotic scaling exponent. Quantum Inf. Comput. 18(3&4): 181-199 (2018) - [i4]Mateusz Ostaszewski, Jaroslaw Adam Miszczak, Przemyslaw Sadowski:
Geometrical versus time-series representation of data in quantum control learning. CoRR abs/1803.05169 (2018) - [i3]Mateusz Ostaszewski, Jaroslaw Adam Miszczak, Przemyslaw Sadowski, Leonardo Banchi:
Approximation of quantum control correction scheme using deep neural networks. CoRR abs/1803.05193 (2018) - 2017
- [j1]Krzysztof Domino, Adam Glos, Mateusz Ostaszewski:
Superdiffusive quantum stochastic walk definable on arbitrary directed graph. Quantum Inf. Comput. 17(11&12): 973-986 (2017) - 2015
- [i2]Mateusz Ostaszewski, Przemyslaw Sadowski, Piotr Gawron:
Quantum image classification using principal component analysis. CoRR abs/1504.00580 (2015) - [i1]Przemyslaw Sadowski, Jaroslaw Adam Miszczak, Mateusz Ostaszewski:
Lively quantum walks on cycles. CoRR abs/1512.02802 (2015)
Coauthor Index
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last updated on 2024-09-04 01:24 CEST by the dblp team
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