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ORCIDPiotr Kozakowski
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2020 – today
- 2024
[i6]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 abs/2403.05713 (2024)- 2023
- [i5]Mikolaj Sacha, Michal Sadowski, Piotr Kozakowski, Ruard van Workum, Stanislaw Jastrzebski:
Molecule-Edit Templates for Efficient and Accurate Retrosynthesis Prediction. CoRR abs/2310.07313 (2023) - 2022
- [c4]Piotr Kozakowski, Lukasz Kaiser, Henryk Michalewski, Afroz Mohiuddin, Katarzyna Kanska:
Q-Value Weighted Regression: Reinforcement Learning with Limited Data. IJCNN 2022: 1-8 - [c3]Piotr Kozakowski, Mikolaj Pacek, Piotr Milos:
Planning and Learning using Adaptive Entropy Tree Search. IJCNN 2022: 1-8 - 2021
- [c2]Konrad Czechowski, Piotr Januszewski, Piotr Kozakowski
, Lukasz Kucinski, Piotr Milos:
Structure and Randomness in Planning and Reinforcement Learning. IJCNN 2021: 1-8 - [i4]Piotr Kozakowski, Lukasz Kaiser, Henryk Michalewski, Afroz Mohiuddin, Katarzyna Kanska:
Q-Value Weighted Regression: Reinforcement Learning with Limited Data. CoRR abs/2102.06782 (2021) - [i3]Piotr Kozakowski, Mikolaj Pacek, Piotr Milos:
Robust and Efficient Planning using Adaptive Entropy Tree Search. CoRR abs/2102.06808 (2021) - 2020
- [c1]Lukasz Kaiser, Mohammad Babaeizadeh, Piotr Milos, Blazej Osinski, Roy H. Campbell, Konrad Czechowski, Dumitru Erhan, Chelsea Finn, Piotr Kozakowski, Sergey Levine, Afroz Mohiuddin, Ryan Sepassi, George Tucker, Henryk Michalewski:
Model Based Reinforcement Learning for Atari. ICLR 2020
2010 – 2019
- 2019
- [j1]Bryan M. Li, Alexander I. Cowen-Rivers, Piotr Kozakowski, David Tao, Siddhartha Kamalakara, Nitarshan Rajkumar, Hariharan Sezhiyan, Sicong Huang, Aidan N. Gomez:
RL: Generic reinforcement learning codebase in TensorFlow. J. Open Source Softw. 4(42): 1524 (2019) - [i2]Lukasz Kaiser, Mohammad Babaeizadeh, Piotr Milos, Blazej Osinski, Roy H. Campbell, Konrad Czechowski, Dumitru Erhan, Chelsea Finn, Piotr Kozakowski, Sergey Levine, Ryan Sepassi, George Tucker, Henryk Michalewski:
Model-Based Reinforcement Learning for Atari. CoRR abs/1903.00374 (2019) - [i1]Piotr Milos, Lukasz Kucinski, Konrad Czechowski, Piotr Kozakowski, Maciej Klimek:
Uncertainty-sensitive Learning and Planning with Ensembles. CoRR abs/1912.09996 (2019)
Coauthor Index
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