Mateusz Ostaszewski

38 papers A* 8Journal 28Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	A Case for Validation Buffer in Pessimistic Actor-Critic. IJCAI Michal Nauman, Mateusz Ostaszewski, Marek Cygan
2025	J	`jnl`	Balancing Expressivity and Robustness: Constrained Rational Activations for Reinforcement Learning. CoRR Rafal Surdej, Michal Bortkiewicz, Alex Lewandowski, Mateusz Ostaszewski, Clare Lyle
2025	J	`jnl`	Huxley-Gödel Machine: Human-Level Coding Agent Development by an Approximation of the Optimal Self-Improving Machine. CoRR Wenyi Wang, Piotr Piekos, Nanbo Li, Firas Laakom, Yimeng Chen, Mateusz Ostaszewski, Mingchen Zhuge, Jürgen Schmidhuber
2025	J	`jnl`	Is Temporal Difference Learning the Gold Standard for Stitching in RL? CoRR Michal Bortkiewicz, Wladyslaw Palucki, Mateusz Ostaszewski, Benjamin Eysenbach
2025	A*	`conf`	Learning Continually by Spectral Regularization. ICLR Alex Lewandowski, Michal Bortkiewicz, Saurabh Kumar, András György, Dale Schuurmans, Mateusz Ostaszewski, Marlos C. Machado
2025	J	`jnl`	PhysGym: Benchmarking LLMs in Interactive Physics Discovery with Controlled Priors. CoRR Yimeng Chen, Piotr Piekos, Mateusz Ostaszewski, Firas Laakom, Jürgen Schmidhuber
2025	J	`jnl`	Unpacking Softmax: How Temperature Drives Representation Collapse, Compression, and Generalization. CoRR Wojciech Masarczyk, Mateusz Ostaszewski, Tin Sum Cheng, Tomasz Trzcinski, Aurélien Lucchi, Razvan Pascanu
2024	J	`jnl`	A Case for Validation Buffer in Pessimistic Actor-Critic. CoRR Michal Nauman, Mateusz Ostaszewski, Marek Cygan
2024	A*	`conf`	Bigger, Regularized, Optimistic: scaling for compute and sample efficient continuous control. NeurIPS Michal Nauman, Mateusz Ostaszewski, Krzysztof Jankowski, Piotr Milos, Marek Cygan
2024	J	`jnl`	Bigger, Regularized, Optimistic: scaling for compute and sample-efficient continuous control. CoRR Michal Nauman, Mateusz Ostaszewski, Krzysztof Jankowski, Piotr Milos, Marek Cygan
2024	A*	`conf`	Curriculum reinforcement learning for quantum architecture search under hardware errors. ICLR Yash J. Patel, Akash Kundu, Mateusz Ostaszewski, Xavier Bonet-Monroig, Vedran Dunjko, Onur Danaci
2024	J	`jnl`	Curriculum reinforcement learning for quantum architecture search under hardware errors. CoRR Yash J. Patel, Akash Kundu, Mateusz Ostaszewski, Xavier Bonet-Monroig, Vedran Dunjko, Onur Danaci
2024	A*	`conf`	Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem. ICML Maciej Wolczyk, Bartlomiej Cupial, Mateusz Ostaszewski, Michal Bortkiewicz, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos
2024	J	`jnl`	Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem. CoRR Maciej Wolczyk, Bartlomiej Cupial, Mateusz Ostaszewski, Michal Bortkiewicz, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos
2024	A*	`conf`	Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning. ICML Michal Nauman, Michal Bortkiewicz, Piotr Milos, Tomasz Trzcinski, Mateusz Ostaszewski, Marek Cygan
2024	J	`jnl`	Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning. CoRR Michal Nauman, Michal Bortkiewicz, Mateusz Ostaszewski, Piotr Milos, Tomasz Trzcinski, Marek Cygan
2024	—	`conf`	Subgoal Reachability in Goal Conditioned Hierarchical Reinforcement Learning. ICAART (1) Michal Bortkiewicz, Jakub Lyskawa, Pawel Wawrzynski, Mateusz Ostaszewski, Artur Grudkowski, Bartlomiej Sobieski, Tomasz Trzcinski
2023	J	`jnl`	Enhancing variational quantum state diagonalization using reinforcement learning techniques. CoRR Akash Kundu, Przemyslaw Bedelek, Mateusz Ostaszewski, Onur Danaci, Yash J. Patel, Vedran Dunjko, Jaroslaw Adam Miszczak
2023	J	`jnl`	On consequences of finetuning on data with highly discriminative features. CoRR Wojciech Masarczyk, Tomasz Trzcinski, Mateusz Ostaszewski
2023	—	`conf`	The Effectiveness of World Models for Continual Reinforcement Learning. CoLLAs Samuel Kessler, Mateusz Ostaszewski, Michal Pawel Bortkiewicz, Mateusz Zarski, Maciej Wolczyk, Jack Parker-Holder, Stephen J. Roberts, Piotr Milos
2023	A*	`conf`	The Tunnel Effect: Building Data Representations in Deep Neural Networks. NeurIPS Wojciech Masarczyk, Mateusz Ostaszewski, Ehsan Imani, Razvan Pascanu, Piotr Milos, Tomasz Trzcinski
2023	J	`jnl`	The Tunnel Effect: Building Data Representations in Deep Neural Networks. CoRR Wojciech Masarczyk, Mateusz Ostaszewski, Ehsan Imani, Razvan Pascanu, Piotr Milos, Tomasz Trzcinski
2022	J	`jnl`	Emergency action termination for immediate reaction in hierarchical reinforcement learning. CoRR Michal Bortkiewicz, Jakub Lyskawa, Pawel Wawrzynski, Mateusz Ostaszewski, Artur Grudkowski, Tomasz Trzcinski
2022	J	`jnl`	Reinforcement learning with experience replay and adaptation of action dispersion. CoRR Pawel Wawrzynski, Wojciech Masarczyk, Mateusz Ostaszewski
2021	A*	`conf`	Reinforcement learning for optimization of variational quantum circuit architectures. NeurIPS Mateusz Ostaszewski, Lea M. Trenkwalder, Wojciech Masarczyk, Eleanor Scerri, Vedran Dunjko
2021	J	`jnl`	Reinforcement learning for optimization of variational quantum circuit architectures. CoRR Mateusz Ostaszewski, Lea M. Trenkwalder, Wojciech Masarczyk, Eleanor Scerri, Vedran Dunjko
2021	J	`jnl`	Structure optimization for parameterized quantum circuits. Quantum Mateusz Ostaszewski, Edward Grant, Marcello Benedetti
2020	J	`jnl`	Effective Training of Deep Convolutional Neural Networks for Hyperspectral Image Classification through Artificial Labeling. Remote. Sens. Wojciech Masarczyk, Przemyslaw Glomb, Bartosz Grabowski, Mateusz Ostaszewski
2019	J	`jnl`	An initialization strategy for addressing barren plateaus in parametrized quantum circuits. Quantum Edward Grant, Leonard Wossnig, Mateusz Ostaszewski, Marcello Benedetti
2019	J	`jnl`	Approximation of quantum control correction scheme using deep neural networks. Quantum Inf. Process. Mateusz Ostaszewski, J. A. Miszczak, Leonardo Banchi, Przemyslaw Sadowski
2019	J	`jnl`	Effective transfer learning for hyperspectral image classification with deep convolutional neural networks. CoRR Wojciech Masarczyk, Przemyslaw Glomb, Bartosz Grabowski, Mateusz Ostaszewski
2019	J	`jnl`	QSWalk.jl: Julia package for quantum stochastic walks analysis. Comput. Phys. Commun. Adam Glos, Jaroslaw Adam Miszczak, Mateusz Ostaszewski
2018	J	`jnl`	Approximation of quantum control correction scheme using deep neural networks. CoRR Mateusz Ostaszewski, Jaroslaw Adam Miszczak, Przemyslaw Sadowski, Leonardo Banchi
2018	J	`jnl`	Geometrical versus time-series representation of data in quantum control learning. CoRR Mateusz Ostaszewski, Jaroslaw Adam Miszczak, Przemyslaw Sadowski
2018	J	`jnl`	Properties of quantum stochastic walks from the asymptotic scaling exponent. Quantum Inf. Comput. Krzysztof Domino, Adam Glos, Mateusz Ostaszewski, Lukasz Pawela, Przemyslaw Sadowski
2017	J	`jnl`	Superdiffusive quantum stochastic walk definable on arbitrary directed graph. Quantum Inf. Comput. Krzysztof Domino, Adam Glos, Mateusz Ostaszewski
2015	J	`jnl`	Lively quantum walks on cycles. CoRR Przemyslaw Sadowski, Jaroslaw Adam Miszczak, Mateusz Ostaszewski
2015	J	`jnl`	Quantum image classification using principal component analysis. CoRR Mateusz Ostaszewski, Przemyslaw Sadowski, Piotr Gawron