Piotr Kozakowski

According to our database, Piotr Kozakowski authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

tsGT: Stochastic Time Series Modeling With Transformer.

Lukasz Kucinski, Witold Drzewakowski, Mateusz Olko, Piotr Kozakowski, Lukasz Maziarka, Marta Emilia Nowakowska, Lukasz Kaiser, Piotr Milos

CoRR, 2024

2023

Molecule-Edit Templates for Efficient and Accurate Retrosynthesis Prediction.

Mikolaj Sacha, Michal Sadowski, Piotr Kozakowski, Ruard van Workum, Stanislaw Jastrzebski

CoRR, 2023

2022

Planning and Learning using Adaptive Entropy Tree Search.

Piotr Kozakowski, Mikolaj Pacek, Piotr Milos

Proceedings of the International Joint Conference on Neural Networks, 2022

Q-Value Weighted Regression: Reinforcement Learning with Limited Data.

Piotr Kozakowski, Lukasz Kaiser, Henryk Michalewski, Afroz Mohiuddin, Katarzyna Kanska

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Robust and Efficient Planning using Adaptive Entropy Tree Search.

Piotr Kozakowski, Mikolaj Pacek, Piotr Milos

CoRR, 2021

Structure and Randomness in Planning and Reinforcement Learning.

Konrad Czechowski, Piotr Januszewski, Piotr Kozakowski, Lukasz Kucinski, Piotr Milos

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Model Based Reinforcement Learning for Atari.

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

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

RL: Generic reinforcement learning codebase in TensorFlow.

Bryan M. Li, Alexander I. Cowen-Rivers, Piotr Kozakowski, David Tao, Siddhartha Kamalakara, Nitarshan Rajkumar, Hariharan Sezhiyan, Sicong Huang, Aidan N. Gomez

J. Open Source Softw., 2019

Uncertainty-sensitive Learning and Planning with Ensembles.

Piotr Milos, Lukasz Kucinski, Konrad Czechowski, Piotr Kozakowski, Maciej Klimek

CoRR, 2019

Model-Based Reinforcement Learning for Atari.

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

CoRR, 2019