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Łukasz Kuciński
Łukasz Kuciński
Polish Academy of Sciences; University of Warsaw; IDEAS NCBR
Dirección de correo verificada de impan.pl - Página principal
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Continual World: A Robotic Benchmark For Continual Reinforcement Learning
M Wołczyk, M Zając, R Pascanu, Ł Kuciński, P Miłoś
NeurIPS 2021, arXiv preprint arXiv:2105.10919, 2021
992021
Magnushammer: A transformer-based approach to premise selection
M Mikuła, S Tworkowski, S Antoniak, B Piotrowski, AQ Jiang, JP Zhou, ...
arXiv preprint arXiv:2303.04488, 2023
372023
Disentangling Transfer in Continual Reinforcement Learning
M Wołczyk, M Zając, R Pascanu, Ł Kuciński, P Miłoś
NeurIPS 2022, arXiv preprint arXiv:2209.13900, 2022
322022
Complete discounted cash flow valuation
L Gajek, Ł Kuciński
Insurance: Mathematics and Economics 73, 1-19, 2017
322017
Subgoal Search For Complex Reasoning Tasks
K Czechowski, T Odrzygóźdź, M Zbysiński, M Zawalski, K Olejnik, Y Wu, ...
NeurIPS 2021, arXiv preprint arXiv:2108.11204, 2021
292021
Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication
Ł Kuciński, T Korbak, P Kołodziej, P Miłoś
NeurIPS 2021, 2021
182021
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem
M Wołczyk, B Cupiał, M Ostaszewski, M Bortkiewicz, M Zając, R Pascanu, ...
arXiv preprint arXiv:2402.02868, 2024
102024
Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search
M Zawalski, M Tyrolski, K Czechowski, D Stachura, P Piękos, ...
ICLR 2023, arXiv preprint arXiv:2206.00702, 2022
92022
Interaction history as a source of compositionality in emergent communication
T Korbak, J Zubek, Ł Kuciński, P Miłoś, J Rączaszek-Leonardi
Interaction Studies 22 (2), 212-243, 2021
92021
Developmentally motivated emergence of compositional communication via template transfer
T Korbak, J Zubek, Ł Kuciński, P Miłoś, J Rączaszek-Leonardi
arXiv preprint arXiv:1910.06079, 2019
92019
Continuous control with ensemble deep deterministic policy gradients
P Januszewski, M Olko, M Królikowski, J Świątkowski, M Andrychowicz, ...
NeurIPS Deep RL workshop 2021, arXiv preprint arXiv:2111.15382, 2021
82021
Uncertainty-sensitive learning and planning with ensembles
P Miłoś, Ł Kuciński, K Czechowski, P Kozakowski, M Klimek
Uncertainty and Robustness in Deep Learning Workshop, ICML 2020, arXiv …, 2019
82019
GUIDE: Guidance-based Incremental Learning with Diffusion Models
B Cywiński, K Deja, T Trzciński, B Twardowski, Ł Kuciński
arXiv preprint arXiv:2403.03938, 2024
52024
Structured packing in llm training improves long context utilization
K Staniszewski, S Tworkowski, S Jaszczur, Y Zhao, H Michalewski, ...
arXiv preprint arXiv:2312.17296, 2023
52023
Emergence of compositional language in communication through noisy channel
Ł Kuciński, P Kołodziej, P Miłoś
Language in Reinforcement Learning Workshop at ICML 2020, 2020
52020
Trust Your : Gradient-based Intervention Targeting for Causal Discovery
M Olko, M Zając, A Nowak, N Scherrer, Y Annadani, S Bauer, Ł Kuciński, ...
Causal Machine Learning for Real-World Impact Workshop, NeurIPS 2022, arXiv …, 2022
42022
Balrog: Benchmarking agentic llm and vlm reasoning on games
D Paglieri, B Cupiał, S Coward, U Piterbarg, M Wolczyk, A Khan, ...
arXiv preprint arXiv:2411.13543, 2024
32024
Optimal risk sharing as a cooperative game
Ł Kuciński
Applicationes Mathematicae 2 (38), 219-242, 2011
32011
Accelerating Goal-Conditioned RL Algorithms and Research
M Bortkiewicz, W Pałucki, V Myers, T Dziarmaga, T Arczewski, Ł Kuciński, ...
arXiv preprint arXiv:2408.11052, 2024
22024
The Role of Forgetting in Fine-Tuning Reinforcement Learning Models
M Wolczyk, B Cupiał, M Ostaszewski, M Bortkiewicz, M Zając, R Pascanu, ...
22023
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Artículos 1–20