Bortkiewicz, Michał

8 publications

NeurIPS 2025 1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities Kevin Wang, Ishaan Javali, Michał Bortkiewicz, Tomasz Trzcinski, Benjamin Eysenbach

ICLRW 2025 Accelerating Goal-Conditioned RL Algorithms and Research Michał Bortkiewicz, Władysław Pałucki, Vivek Myers, Tadeusz Dziarmaga, Tomasz Arczewski, Łukasz Kuciński, Benjamin Eysenbach

ICLR 2025 Accelerating Goal-Conditioned Reinforcement Learning Algorithms and Research Michał Bortkiewicz, Władysław Pałucki, Vivek Myers, Tadeusz Dziarmaga, Tomasz Arczewski, Łukasz Kuciński, Benjamin Eysenbach

ICLRW 2025 Contrastive Representations for Combinatorial Reasoning Alicja Ziarko, Michał Bortkiewicz, Michał Zawalski, Benjamin Eysenbach, Piotr Miłoś

NeurIPS 2025 Contrastive Representations for Temporal Reasoning Alicja Ziarko, Michał Bortkiewicz, Michał Zawalski, Benjamin Eysenbach, Piotr Miłoś

ICLR 2025 Learning Continually by Spectral Regularization Alex Lewandowski, Michał Bortkiewicz, Saurabh Kumar, András György, Dale Schuurmans, Mateusz Ostaszewski, Marlos C. Machado

ICML 2024 Fine-Tuning Reinforcement Learning Models Is Secretly a Forgetting Mitigation Problem Maciej Wolczyk, Bartłomiej Cupiał, Mateusz Ostaszewski, Michał Bortkiewicz, Michał Zając, Razvan Pascanu, Łukasz Kuciński, Piotr Miłoś

ICML 2024 Overestimation, Overfitting, and Plasticity in Actor-Critic: The Bitter Lesson of Reinforcement Learning Michal Nauman, Michał Bortkiewicz, Piotr Miłoś, Tomasz Trzcinski, Mateusz Ostaszewski, Marek Cygan