Lukasz Kucinski

According to our database, Lukasz Kucinski authored at least 23 papers between 2019 and 2024.

Collaborative distances:

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

2024

BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games.

Davide Paglieri, Bartlomiej Cupial, Samuel Coward, Ulyana Piterbarg, Maciej Wolczyk, Akbir Khan, Eduardo Pignatelli, Lukasz Kucinski, Lerrel Pinto, Rob Fergus, Jakob Nicolaus Foerster, Jack Parker-Holder, Tim Rocktäschel

CoRR, 2024

RapidDock: Unlocking Proteome-scale Molecular Docking.

Rafal Powalski, Bazyli Klockiewicz, Maciej Jaskowski, Bartosz Topolski, Pawel Dabrowski-Tumanski, Maciej Wisniewski, Lukasz Kucinski, Piotr Milos, Dariusz Plewczynski

CoRR, 2024

There and Back Again: On the relation between noises, images, and their inversions in diffusion models.

Lukasz Staniszewski, Lukasz Kucinski, Kamil Deja

CoRR, 2024

Accelerating Goal-Conditioned RL Algorithms and Research.

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

CoRR, 2024

RoboMorph: Evolving Robot Morphology using Large Language Models.

Kevin Qiu, Krzysztof Ciebiera, Pawel Fijalkowski, Marek Cygan, Lukasz Kucinski

CoRR, 2024

What Matters in Hierarchical Search for Combinatorial Reasoning Problems?

Michal Zawalski, Gracjan Góral, Michal Tyrolski, Emilia Wisnios, Franciszek Budrowski, Lukasz Kucinski, Piotr Milos

CoRR, 2024

tsGT: Stochastic Time Series Modeling With Transformer.

Lukasz Kucinski, Witold Drzewakowski, Mateusz Olko, Piotr Kozakowski, Lukasz Maziarka, Marta Emilia Nowakowska, Lukasz Kaiser, Piotr Milos

CoRR, 2024

GUIDE: Guidance-based Incremental Learning with Diffusion Models.

Bartosz Cywinski, Kamil Deja, Tomasz Trzcinski, Bartlomiej Twardowski, Lukasz Kucinski

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

Magnushammer: A Transformer-Based Approach to Premise Selection.

Maciej Mikula, Szymon Tworkowski, Szymon Antoniak, Bartosz Piotrowski, Albert Q. Jiang, Jin Peng Zhou, Christian Szegedy, Lukasz Kucinski, Piotr Milos, Yuhuai Wu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Structured Packing in LLM Training Improves Long Context Utilization.

Konrad Staniszewski, Szymon Tworkowski, Sebastian Jaszczur, Henryk Michalewski, Lukasz Kucinski, Piotr Milos

CoRR, 2023

Magnushammer: A Transformer-based Approach to Premise Selection.

Maciej Mikula, Szymon Antoniak, Szymon Tworkowski, Albert Qiaochu Jiang, Jin Peng Zhou, Christian Szegedy, Lukasz Kucinski, Piotr Milos, Yuhuai Wu

CoRR, 2023

Trust Your 𝛁: Gradient-based Intervention Targeting for Causal Discovery.

Mateusz Olko, Michal Zajac, Aleksandra Nowak, Nino Scherrer, Yashas Annadani, Stefan Bauer, Lukasz Kucinski, Piotr Milos

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search.

Michal Zawalski, Michal Tyrolski, Konrad Czechowski, Tomasz Odrzygózdz, Damian Stachura, Piotr Piekos, Yuhuai Wu, Lukasz Kucinski, Piotr Milos

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Disentangling Transfer in Continual Reinforcement Learning.

Maciej Wolczyk, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Continuous Control With Ensemble Deep Deterministic Policy Gradients.

Piotr Januszewski, Mateusz Olko, Michal Królikowski, Jakub Swiatkowski, Marcin Andrychowicz, Lukasz Kucinski, Piotr Milos

CoRR, 2021

Continual World: A Robotic Benchmark For Continual Reinforcement Learning.

Maciej Wolczyk, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication.

Lukasz Kucinski, Tomasz Korbak, Pawel Kolodziej, Piotr Milos

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Subgoal Search For Complex Reasoning Tasks.

Konrad Czechowski, Tomasz Odrzygózdz, Marek Zbysinski, Michal Zawalski, Krzysztof Olejnik, Yuhuai Wu, Lukasz Kucinski, Piotr Milos

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Trust, but Verify: Alleviating Pessimistic Errors in Model-Based Exploration.

Konrad Czechowski, Tomasz Odrzygózdz, Michal Izworski, Marek Zbysinski, Lukasz Kucinski, Piotr Milos

Proceedings of the International Joint Conference on Neural Networks, 2021

Structure and Randomness in Planning and Reinforcement Learning.

Konrad Czechowski, Piotr Januszewski, Piotr Kozakowski, Lukasz Kucinski, Piotr Milos

Proceedings of the International Joint Conference on Neural Networks, 2021

2019

Uncertainty-sensitive Learning and Planning with Ensembles.

Piotr Milos, Lukasz Kucinski, Konrad Czechowski, Piotr Kozakowski, Maciej Klimek

CoRR, 2019

Developmentally motivated emergence of compositional communication via template transfer.

Tomasz Korbak, Julian Zubek, Lukasz Kucinski, Piotr Milos, Joanna Raczaszek-Leonardi

CoRR, 2019