Michal Bortkiewicz

16 papers A* 4Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On the Role of Iterative Computation in Reinforcement Learning. CoRR Raj Ghugare, Michal Bortkiewicz, Alicja Ziarko, Benjamin Eysenbach
2025	J	`jnl`	1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities. CoRR Kevin Wang, Ishaan Javali, Michal Bortkiewicz, Tomasz Trzcinski, Benjamin Eysenbach
2025	A*	`conf`	Accelerating Goal-Conditioned Reinforcement Learning Algorithms and Research. ICLR Michal Bortkiewicz, Wladyslaw Palucki, Vivek Myers, Tadeusz Dziarmaga, Tomasz Arczewski, Lukasz Kucinski, Benjamin Eysenbach
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`	Contrastive Representations for Temporal Reasoning. CoRR Alicja Ziarko, Michal Bortkiewicz, Michal Zawalski, Benjamin Eysenbach, Piotr Milos
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
2024	J	`jnl`	Accelerating Goal-Conditioned RL Algorithms and Research. CoRR Michal Bortkiewicz, Wladek Palucki, Vivek Myers, Tadeusz Dziarmaga, Tomasz Arczewski, Lukasz Kucinski, Benjamin Eysenbach
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
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	—	`conf`	Progressive Latent Replay for Efficient Generative Rehearsal. ICONIP (4) Stanislaw Pawlak, Filip Szatkowski, Michal Bortkiewicz, Jan Dubinski, Tomasz Trzcinski
2022	J	`jnl`	Progressive Latent Replay for efficient Generative Rehearsal. CoRR Stanislaw Pawlak, Filip Szatkowski, Michal Bortkiewicz, Jan Dubinski, Tomasz Trzcinski