Lukasz Kucinski

34 papers A* 11A 1B 2Journal 20

Year	Rank	Type	Title / Venue / Authors
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	A*	`conf`	BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games. ICLR 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
2025	A	`conf`	GUIDE: Guidance-Based Incremental Learning with Diffusion Models. ECAI Bartosz Cywinski, Kamil Deja, Tomasz Trzcinski, Bartlomiej Twardowski, Lukasz Kucinski
2025	A*	`conf`	Structured Packing in LLM Training Improves Long Context Utilization. AAAI Konrad Staniszewski, Szymon Tworkowski, Sebastian Jaszczur, Yu Zhao, Henryk Michalewski, Lukasz Kucinski, Piotr Milos
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	J	`jnl`	BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games. CoRR 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
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	J	`jnl`	GUIDE: Guidance-based Incremental Learning with Diffusion Models. CoRR Bartosz Cywinski, Kamil Deja, Tomasz Trzcinski, Bartlomiej Twardowski, Lukasz Kucinski
2024	A*	`conf`	Magnushammer: A Transformer-Based Approach to Premise Selection. ICLR Maciej Mikula, Szymon Tworkowski, Szymon Antoniak, Bartosz Piotrowski, Albert Q. Jiang, Jin Peng Zhou, Christian Szegedy, Lukasz Kucinski, Piotr Milos, Yuhuai Wu
2024	J	`jnl`	RapidDock: Unlocking Proteome-scale Molecular Docking. CoRR Rafal Powalski, Bazyli Klockiewicz, Maciej Jaskowski, Bartosz Topolski, Pawel Dabrowski-Tumanski, Maciej Wisniewski, Lukasz Kucinski, Piotr Milos, Dariusz Plewczynski
2024	J	`jnl`	RoboMorph: Evolving Robot Morphology using Large Language Models. CoRR Kevin Qiu, Krzysztof Ciebiera, Pawel Fijalkowski, Marek Cygan, Lukasz Kucinski
2024	J	`jnl`	There and Back Again: On the relation between noises, images, and their inversions in diffusion models. CoRR Lukasz Staniszewski, Lukasz Kucinski, Kamil Deja
2024	J	`jnl`	What Matters in Hierarchical Search for Combinatorial Reasoning Problems? CoRR Michal Zawalski, Gracjan Góral, Michal Tyrolski, Emilia Wisnios, Franciszek Budrowski, Lukasz Kucinski, Piotr Milos
2024	J	`jnl`	tsGT: Stochastic Time Series Modeling With Transformer. CoRR Lukasz Kucinski, Witold Drzewakowski, Mateusz Olko, Piotr Kozakowski, Lukasz Maziarka, Marta Emilia Nowakowska, Lukasz Kaiser, Piotr Milos
2023	A*	`conf`	Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search. ICLR Michal Zawalski, Michal Tyrolski, Konrad Czechowski, Tomasz Odrzygózdz, Damian Stachura, Piotr Piekos, Yuhuai Wu, Lukasz Kucinski, Piotr Milos
2023	J	`jnl`	Magnushammer: A Transformer-based Approach to Premise Selection. CoRR Maciej Mikula, Szymon Antoniak, Szymon Tworkowski, Albert Qiaochu Jiang, Jin Peng Zhou, Christian Szegedy, Lukasz Kucinski, Piotr Milos, Yuhuai Wu
2023	J	`jnl`	Structured Packing in LLM Training Improves Long Context Utilization. CoRR Konrad Staniszewski, Szymon Tworkowski, Sebastian Jaszczur, Henryk Michalewski, Lukasz Kucinski, Piotr Milos
2023	A*	`conf`	Trust Your 𝛁: Gradient-based Intervention Targeting for Causal Discovery. NeurIPS Mateusz Olko, Michal Zajac, Aleksandra Nowak, Nino Scherrer, Yashas Annadani, Stefan Bauer, Lukasz Kucinski, Piotr Milos
2022	A*	`conf`	Disentangling Transfer in Continual Reinforcement Learning. NeurIPS Maciej Wolczyk, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos
2022	J	`jnl`	Disentangling Transfer in Continual Reinforcement Learning. CoRR Maciej Wolczyk, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos
2022	J	`jnl`	Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search. CoRR Michal Zawalski, Michal Tyrolski, Konrad Czechowski, Damian Stachura, Piotr Piekos, Tomasz Odrzygózdz, Yuhuai Wu, Lukasz Kucinski, Piotr Milos
2022	J	`jnl`	Trust Your ∇: Gradient-based Intervention Targeting for Causal Discovery. CoRR Mateusz Olko, Michal Zajac, Aleksandra Nowak, Nino Scherrer, Yashas Annadani, Stefan Bauer, Lukasz Kucinski, Piotr Milos
2021	A*	`conf`	Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication. NeurIPS Lukasz Kucinski, Tomasz Korbak, Pawel Kolodziej, Piotr Milos
2021	J	`jnl`	Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication. CoRR Lukasz Kucinski, Tomasz Korbak, Pawel Kolodziej, Piotr Milos
2021	A*	`conf`	Continual World: A Robotic Benchmark For Continual Reinforcement Learning. NeurIPS Maciej Wolczyk, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos
2021	J	`jnl`	Continual World: A Robotic Benchmark For Continual Reinforcement Learning. CoRR Maciej Wolczyk, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos
2021	J	`jnl`	Continuous Control With Ensemble Deep Deterministic Policy Gradients. CoRR Piotr Januszewski, Mateusz Olko, Michal Królikowski, Jakub Swiatkowski, Marcin Andrychowicz, Lukasz Kucinski, Piotr Milos
2021	B	`conf`	Structure and Randomness in Planning and Reinforcement Learning. IJCNN Konrad Czechowski, Piotr Januszewski, Piotr Kozakowski, Lukasz Kucinski, Piotr Milos
2021	A*	`conf`	Subgoal Search For Complex Reasoning Tasks. NeurIPS Konrad Czechowski, Tomasz Odrzygózdz, Marek Zbysinski, Michal Zawalski, Krzysztof Olejnik, Yuhuai Wu, Lukasz Kucinski, Piotr Milos
2021	J	`jnl`	Subgoal Search For Complex Reasoning Tasks. CoRR Konrad Czechowski, Tomasz Odrzygózdz, Marek Zbysinski, Michal Zawalski, Krzysztof Olejnik, Yuhuai Wu, Lukasz Kucinski, Piotr Milos
2021	B	`conf`	Trust, but Verify: Alleviating Pessimistic Errors in Model-Based Exploration. IJCNN Konrad Czechowski, Tomasz Odrzygózdz, Michal Izworski, Marek Zbysinski, Lukasz Kucinski, Piotr Milos
2019	J	`jnl`	Developmentally motivated emergence of compositional communication via template transfer. CoRR Tomasz Korbak, Julian Zubek, Lukasz Kucinski, Piotr Milos, Joanna Raczaszek-Leonardi
2019	J	`jnl`	Uncertainty-sensitive Learning and Planning with Ensembles. CoRR Piotr Milos, Lukasz Kucinski, Konrad Czechowski, Piotr Kozakowski, Maciej Klimek