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; et al. (CoRR, 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; Afroz Mohiuddin; Ryan Sepassi; et al. (ICLR, 2020)

Structure and Randomness in Planning and Reinforcement Learning. - Konrad Czechowski; Piotr Januszewski; Piotr Kozakowski; Lukasz Kucinski; Piotr Milos (IJCNN, 2021)

Trust, but Verify: Alleviating Pessimistic Errors in Model-Based Exploration. - Konrad Czechowski; Tomasz Odrzygózdz; Michal Izworski; Marek Zbysinski; Lukasz Kucinski; Piotr Milos (IJCNN, 2021)

Subgoal Search For Complex Reasoning Tasks. - Konrad Czechowski; Tomasz Odrzygózdz; Marek Zbysinski; Michal Zawalski; Krzysztof Olejnik; Yuhuai Wu; Lukasz Kucinski; Piotr Milos (NeurIPS, 2021)

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 (NeurIPS, 2022)

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 (ICLR, 2023)