Piotr Kozakowski

12 papers A* 1B 3Journal 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Trustworthy Retrosynthesis: Eliminating Hallucinations with a Diverse Ensemble of Reaction Scorers. CoRR Michal Sadowski, Tadija Radusinovic, Maria Wyrzykowska, Lukasz Sztukiewicz, Jan Rzymkowski, Pawel Wlodarczyk-Pruszynski, Mikolaj Sacha, Piotr Kozakowski, Ruard van Workum, Stanislaw Kamil Jastrzebski
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	J	`jnl`	Molecule-Edit Templates for Efficient and Accurate Retrosynthesis Prediction. CoRR Mikolaj Sacha, Michal Sadowski, Piotr Kozakowski, Ruard van Workum, Stanislaw Jastrzebski
2022	B	`conf`	Planning and Learning using Adaptive Entropy Tree Search. IJCNN Piotr Kozakowski, Mikolaj Pacek, Piotr Milos
2022	B	`conf`	Q-Value Weighted Regression: Reinforcement Learning with Limited Data. IJCNN Piotr Kozakowski, Lukasz Kaiser, Henryk Michalewski, Afroz Mohiuddin, Katarzyna Kanska
2021	J	`jnl`	Q-Value Weighted Regression: Reinforcement Learning with Limited Data. CoRR Piotr Kozakowski, Lukasz Kaiser, Henryk Michalewski, Afroz Mohiuddin, Katarzyna Kanska
2021	J	`jnl`	Robust and Efficient Planning using Adaptive Entropy Tree Search. CoRR Piotr Kozakowski, Mikolaj Pacek, Piotr Milos
2021	B	`conf`	Structure and Randomness in Planning and Reinforcement Learning. IJCNN Konrad Czechowski, Piotr Januszewski, Piotr Kozakowski, Lukasz Kucinski, Piotr Milos
2020	A*	`conf`	Model Based Reinforcement Learning for Atari. ICLR 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
2019	J	`jnl`	Model-Based Reinforcement Learning for Atari. CoRR 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
2019	J	`jnl`	RL: Generic reinforcement learning codebase in TensorFlow. J. Open Source Softw. Bryan M. Li, Alexander I. Cowen-Rivers, Piotr Kozakowski, David Tao, Siddhartha Kamalakara, Nitarshan Rajkumar, Hariharan Sezhiyan, Sicong Huang, Aidan N. Gomez
2019	J	`jnl`	Uncertainty-sensitive Learning and Planning with Ensembles. CoRR Piotr Milos, Lukasz Kucinski, Konrad Czechowski, Piotr Kozakowski, Maciej Klimek