Michal Bortkiewicz

According to our database, Michal Bortkiewicz authored at least 12 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Contrastive Representations for Temporal Reasoning.

Alicja Ziarko, Michal Bortkiewicz, Michal Zawalski, Benjamin Eysenbach, Piotr Milos

CoRR, August, 2025

Balancing Expressivity and Robustness: Constrained Rational Activations for Reinforcement Learning.

Rafal Surdej, Michal Bortkiewicz, Alex Lewandowski, Mateusz Ostaszewski, Clare Lyle

CoRR, July, 2025

1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities.

Kevin Wang, Ishaan Javali, Michal Bortkiewicz, Tomasz Trzcinski, Benjamin Eysenbach

CoRR, March, 2025

Learning Continually by Spectral Regularization.

Alex Lewandowski, Michal Bortkiewicz, Saurabh Kumar, András György, Dale Schuurmans, Mateusz Ostaszewski, Marlos C. Machado

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Accelerating Goal-Conditioned Reinforcement Learning Algorithms and Research.

Michal Bortkiewicz, Wladyslaw Palucki, Vivek Myers, Tadeusz Dziarmaga, Tomasz Arczewski, Lukasz Kucinski, Benjamin Eysenbach

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Accelerating Goal-Conditioned RL Algorithms and Research.

Michal Bortkiewicz, Wladek Palucki, Vivek Myers, Tadeusz Dziarmaga, Tomasz Arczewski, Lukasz Kucinski, Benjamin Eysenbach

CoRR, 2024

Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem.

Maciej Wolczyk, Bartlomiej Cupial, Mateusz Ostaszewski, Michal Bortkiewicz, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning.

Michal Nauman, Michal Bortkiewicz, Piotr Milos, Tomasz Trzcinski, Mateusz Ostaszewski, Marek Cygan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Subgoal Reachability in Goal Conditioned Hierarchical Reinforcement Learning.

Michal Bortkiewicz, Jakub Lyskawa, Pawel Wawrzynski, Mateusz Ostaszewski, Artur Grudkowski, Bartlomiej Sobieski, Tomasz Trzcinski

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2023

The Effectiveness of World Models for Continual Reinforcement Learning.

Samuel Kessler, Mateusz Ostaszewski, Michal Pawel Bortkiewicz, Mateusz Zarski, Maciej Wolczyk, Jack Parker-Holder, Stephen J. Roberts, Piotr Milos

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

Emergency action termination for immediate reaction in hierarchical reinforcement learning.

Michal Bortkiewicz, Jakub Lyskawa, Pawel Wawrzynski, Mateusz Ostaszewski, Artur Grudkowski, Tomasz Trzcinski

CoRR, 2022

Progressive Latent Replay for Efficient Generative Rehearsal.

Stanislaw Pawlak, Filip Szatkowski, Michal Bortkiewicz, Jan Dubinski, Tomasz Trzcinski

Proceedings of the Neural Information Processing - 29th International Conference, 2022