Konrad Czechowski

According to our database, Konrad Czechowski authored at least 8 papers between 2019 and 2023.

Collaborative distances:

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

2023

Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search.

Michal Zawalski, Michal Tyrolski, Konrad Czechowski, Tomasz Odrzygózdz, Damian Stachura, Piotr Piekos, Yuhuai Wu, Lukasz Kucinski, Piotr Milos

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Thor: Wielding Hammers to Integrate Language Models and Automated Theorem Provers.

Albert Qiaochu Jiang, Wenda Li, Szymon Tworkowski, Konrad Czechowski, Tomasz Odrzygózdz, Piotr Milos, Yuhuai Wu, Mateja Jamnik

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Subgoal Search For Complex Reasoning Tasks.

Konrad Czechowski, Tomasz Odrzygózdz, Marek Zbysinski, Michal Zawalski, Krzysztof Olejnik, Yuhuai Wu, Lukasz Kucinski, Piotr Milos

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Trust, but Verify: Alleviating Pessimistic Errors in Model-Based Exploration.

Konrad Czechowski, Tomasz Odrzygózdz, Michal Izworski, Marek Zbysinski, Lukasz Kucinski, Piotr Milos

Proceedings of the International Joint Conference on Neural Networks, 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

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