Lukasz Kucinski

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 25

Top Topics

Causal Discovery

Planning Horizon

Reasoning Tasks

Reinforcement Learning

Top Venues

Publications

Michal Zawalski, Gracjan Góral, Michal Tyrolski, Emilia Wisnios, Franciszek Budrowski, Lukasz Kucinski, Piotr Milos
What Matters in Hierarchical Search for Combinatorial Reasoning Problems? CoRR (2024)
Maciej Mikula, Szymon Tworkowski, Szymon Antoniak, Bartosz Piotrowski, Albert Q. Jiang, Jin Peng Zhou, Christian Szegedy, Lukasz Kucinski, Piotr Milos, Yuhuai Wu
Magnushammer: A Transformer-Based Approach to Premise Selection. ICLR (2024)
Kevin Qiu, Krzysztof Ciebiera, Pawel Fijalkowski, Marek Cygan, Lukasz Kucinski
RoboMorph: Evolving Robot Morphology using Large Language Models. CoRR (2024)
Bartosz Cywinski, Kamil Deja, Tomasz Trzcinski, Bartlomiej Twardowski, Lukasz Kucinski
GUIDE: Guidance-based Incremental Learning with Diffusion Models. CoRR (2024)
Maciej Wolczyk, Bartlomiej Cupial, Mateusz Ostaszewski, Michal Bortkiewicz, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem. CoRR (2024)
Lukasz Kucinski, Witold Drzewakowski, Mateusz Olko, Piotr Kozakowski, Lukasz Maziarka, Marta Emilia Nowakowska, Lukasz Kaiser, Piotr Milos
tsGT: Stochastic Time Series Modeling With Transformer. CoRR (2024)
Konrad Staniszewski, Szymon Tworkowski, Sebastian Jaszczur, Henryk Michalewski, Lukasz Kucinski, Piotr Milos
Structured Packing in LLM Training Improves Long Context Utilization. CoRR (2023)
Michal Zawalski, Michal Tyrolski, Konrad Czechowski, Tomasz Odrzygózdz, Damian Stachura, Piotr Piekos, Yuhuai Wu, Lukasz Kucinski, Piotr Milos
Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search. ICLR (2023)
Maciej Mikula, Szymon Antoniak, Szymon Tworkowski, Albert Qiaochu Jiang, Jin Peng Zhou, Christian Szegedy, Lukasz Kucinski, Piotr Milos, Yuhuai Wu
Magnushammer: A Transformer-based Approach to Premise Selection. CoRR (2023)
Mateusz Olko, Michal Zajac, Aleksandra Nowak, Nino Scherrer, Yashas Annadani, Stefan Bauer, Lukasz Kucinski, Piotr Milos
Trust Your 𝛁: Gradient-based Intervention Targeting for Causal Discovery. NeurIPS (2023)
Mateusz Olko, Michal Zajac, Aleksandra Nowak, Nino Scherrer, Yashas Annadani, Stefan Bauer, Lukasz Kucinski, Piotr Milos
Trust Your ∇: Gradient-based Intervention Targeting for Causal Discovery. CoRR (2022)
Michal Zawalski, Michal Tyrolski, Konrad Czechowski, Damian Stachura, Piotr Piekos, Tomasz Odrzygózdz, Yuhuai Wu, Lukasz Kucinski, Piotr Milos
Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search. CoRR (2022)
Maciej Wolczyk, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos
Disentangling Transfer in Continual Reinforcement Learning. CoRR (2022)
Maciej Wolczyk, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos
Disentangling Transfer in Continual Reinforcement Learning. NeurIPS (2022)
Lukasz Kucinski, Tomasz Korbak, Pawel Kolodziej, Piotr Milos
Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication. NeurIPS (2021)
Konrad Czechowski, Piotr Januszewski, Piotr Kozakowski, Lukasz Kucinski, Piotr Milos
Structure and Randomness in Planning and Reinforcement Learning. IJCNN (2021)
Konrad Czechowski, Tomasz Odrzygózdz, Marek Zbysinski, Michal Zawalski, Krzysztof Olejnik, Yuhuai Wu, Lukasz Kucinski, Piotr Milos
Subgoal Search For Complex Reasoning Tasks. NeurIPS (2021)
Piotr Januszewski, Mateusz Olko, Michal Królikowski, Jakub Swiatkowski, Marcin Andrychowicz, Lukasz Kucinski, Piotr Milos
Continuous Control With Ensemble Deep Deterministic Policy Gradients. CoRR (2021)
Lukasz Kucinski, Tomasz Korbak, Pawel Kolodziej, Piotr Milos
Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication. CoRR (2021)
Konrad Czechowski, Tomasz Odrzygózdz, Marek Zbysinski, Michal Zawalski, Krzysztof Olejnik, Yuhuai Wu, Lukasz Kucinski, Piotr Milos
Subgoal Search For Complex Reasoning Tasks. CoRR (2021)
Konrad Czechowski, Tomasz Odrzygózdz, Michal Izworski, Marek Zbysinski, Lukasz Kucinski, Piotr Milos
Trust, but Verify: Alleviating Pessimistic Errors in Model-Based Exploration. IJCNN (2021)
Maciej Wolczyk, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos
Continual World: A Robotic Benchmark For Continual Reinforcement Learning. NeurIPS (2021)
Maciej Wolczyk, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos
Continual World: A Robotic Benchmark For Continual Reinforcement Learning. CoRR (2021)
Piotr Milos, Lukasz Kucinski, Konrad Czechowski, Piotr Kozakowski, Maciej Klimek
Uncertainty-sensitive Learning and Planning with Ensembles. CoRR (2019)
Tomasz Korbak, Julian Zubek, Lukasz Kucinski, Piotr Milos, Joanna Raczaszek-Leonardi
Developmentally motivated emergence of compositional communication via template transfer. CoRR (2019)