Michal Bortkiewicz

According to our database, Michal Bortkiewicz authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

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