Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments. - Lukasz Kidzinski; Sharada Prasanna Mohanty; Carmichael F. Ong; Zhewei Huang; Shuchang Zhou 001; Anton Pechenko; Adam Stelmaszczyk; Piotr Jarosik; Mikhail Pavlov; Sergey Kolesnikov; Sergey M. Plis; Zhibo Chen 001; et al. (CoRR, 2018)

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)

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)

Simulation-Based Reinforcement Learning for Real-World Autonomous Driving. - Blazej Osinski; Adam Jakubowski; Pawel Ziecina; Piotr Milos; Christopher Galias; Silviu Homoceanu; Henryk Michalewski (ICRA, 2020)

CARLA Real Traffic Scenarios - novel training ground and benchmark for autonomous driving. - Blazej Osinski; Piotr Milos; Adam Jakubowski; Pawel Ziecina; Michal Martyniak; Christopher Galias; Antonia Breuer; Silviu Homoceanu; Henryk Michalewski (CoRR, 2020)

Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients. - Oliver Scheel; Luca Bergamini; Maciej Wolczyk; Blazej Osinski; Peter Ondruska (CoRL, 2021)

SimNet: Learning Reactive Self-driving Simulations from Real-world Observations. - Luca Bergamini; Yawei Ye; Oliver Scheel; Long Chen; Chih Hu; Luca Del Pero; Blazej Osinski; Hugo Grimmett; Peter Ondruska (ICRA, 2021)

What data do we need for training an AV motion planner? - Long Chen; Lukas Platinsky; Stefanie Speichert; Blazej Osinski; Oliver Scheel; Yawei Ye; Hugo Grimmett; Luca Del Pero; Peter Ondruska (ICRA, 2021)

SafetyNet: Safe planning for real-world self-driving vehicles using machine-learned policies. - Matt Vitelli; Yan Chang; Yawei Ye; Maciej Wolczyk; Blazej Osinski; Moritz Niendorf; Hugo Grimmett; Qiangui Huang; Ashesh Jain; Peter Ondruska (CoRR, 2021)

Off-Policy Correction For Multi-Agent Reinforcement Learning. - Michal Zawalski; Blazej Osinski; Henryk Michalewski; Piotr Milos (AAMAS, 2022)

LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action. - Dhruv Shah; Blazej Osinski; Brian Ichter; Sergey Levine (CoRL, 2022)

SafetyNet: Safe Planning for Real-World Self-Driving Vehicles Using Machine-Learned Policies. - Matt Vitelli; Yan Chang; Yawei Ye; Ana Ferreira 011; Maciej Wolczyk; Blazej Osinski; Moritz Niendorf; Hugo Grimmett; Qiangui Huang; Ashesh Jain; Peter Ondruska (ICRA, 2022)

Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning. - Dhruv Shah; Michael Robert Equi; Blazej Osinski; Fei Xia 002; Brian Ichter; Sergey Levine (CoRL, 2023)

PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis. - Yan Wu; Esther Wershof; Sebastian M. Schmon; Marcel Nassar; Blazej Osinski; Ridvan Eksi; Kun Zhang; Thore Graepel (CoRR, 2024)