Mateusz Ostaszewski

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 25

Top Topics

Quantum Computing

Data Representations

Reinforcement Learning

Top Venues

Quantum Inf. Comput.

Publications

Michal Nauman, Mateusz Ostaszewski, Krzysztof Jankowski, Piotr Milos, Marek Cygan
Bigger, Regularized, Optimistic: scaling for compute and sample-efficient continuous control. CoRR (2024)
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 (2024)
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)
Michal Nauman, Mateusz Ostaszewski, Marek Cygan
A Case for Validation Buffer in Pessimistic Actor-Critic. CoRR (2024)
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 (2024)
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 (2024)
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)
Wojciech Masarczyk, Mateusz Ostaszewski, Ehsan Imani, Razvan Pascanu, Piotr Milos, Tomasz Trzcinski
The Tunnel Effect: Building Data Representations in Deep Neural Networks. NeurIPS (2023)
Akash Kundu, Przemyslaw Bedelek, Mateusz Ostaszewski, Onur Danaci, Vedran Dunjko, Jaroslaw Adam Miszczak
Enhancing quantum variational state diagonalization using reinforcement learning techniques. CoRR (2023)
Wojciech Masarczyk, Tomasz Trzcinski, Mateusz Ostaszewski
On consequences of finetuning on data with highly discriminative features. CoRR (2023)
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)
Wojciech Masarczyk, Mateusz Ostaszewski, Ehsan Imani, Razvan Pascanu, Piotr Milos, Tomasz Trzcinski
The Tunnel Effect: Building Data Representations in Deep Neural Networks. CoRR (2023)
Michal Bortkiewicz, Jakub Lyskawa, Pawel Wawrzynski, Mateusz Ostaszewski, Artur Grudkowski, Tomasz Trzcinski
Emergency action termination for immediate reaction in hierarchical reinforcement learning. CoRR (2022)
Pawel Wawrzynski, Wojciech Masarczyk, Mateusz Ostaszewski
Reinforcement learning with experience replay and adaptation of action dispersion. CoRR (2022)
Mateusz Ostaszewski, Lea M. Trenkwalder, Wojciech Masarczyk, Eleanor Scerri, Vedran Dunjko
Reinforcement learning for optimization of variational quantum circuit architectures. NeurIPS (2021)
Mateusz Ostaszewski, Lea M. Trenkwalder, Wojciech Masarczyk, Eleanor Scerri, Vedran Dunjko
Reinforcement learning for optimization of variational quantum circuit architectures. CoRR (2021)
Mateusz Ostaszewski, Edward Grant, Marcello Benedetti
Structure optimization for parameterized quantum circuits. Quantum 5 (2021)
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) (2020)
Adam Glos, Jaroslaw Adam Miszczak, Mateusz Ostaszewski
QSWalk.jl: Julia package for quantum stochastic walks analysis. Comput. Phys. Commun. 235 (2019)
Mateusz Ostaszewski, J. A. Miszczak, Leonardo Banchi, Przemyslaw Sadowski
Approximation of quantum control correction scheme using deep neural networks. Quantum Inf. Process. 18 (5) (2019)
Wojciech Masarczyk, Przemyslaw Glomb, Bartosz Grabowski, Mateusz Ostaszewski
Effective transfer learning for hyperspectral image classification with deep convolutional neural networks. CoRR (2019)
Mateusz Ostaszewski, Jaroslaw Adam Miszczak, Przemyslaw Sadowski, Leonardo Banchi
Approximation of quantum control correction scheme using deep neural networks. CoRR (2018)
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) (2018)
Mateusz Ostaszewski, Jaroslaw Adam Miszczak, Przemyslaw Sadowski
Geometrical versus time-series representation of data in quantum control learning. CoRR (2018)
Krzysztof Domino, Adam Glos, Mateusz Ostaszewski
Superdiffusive quantum stochastic walk definable on arbitrary directed graph. Quantum Inf. Comput. 17 (11&12) (2017)
Przemyslaw Sadowski, Jaroslaw Adam Miszczak, Mateusz Ostaszewski
Lively quantum walks on cycles. CoRR (2015)
Mateusz Ostaszewski, Przemyslaw Sadowski, Piotr Gawron
Quantum image classification using principal component analysis. CoRR (2015)