Blazej Osinski

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 20

Top Topics

Reinforcement Learning

Top Venues

Publications

Dhruv Shah, Michael Robert Equi, Blazej Osinski, Fei Xia, Brian Ichter, Sergey Levine
Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning. CoRL (2023)
Dhruv Shah, Michael Equi, Blazej Osinski, Fei Xia, Brian Ichter, Sergey Levine
Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning. CoRR (2023)
Matt Vitelli, Yan Chang, Yawei Ye, Ana Ferreira, Maciej Wolczyk, Blazej Osinski, Moritz Niendorf, Hugo Grimmett, Qiangui Huang, Ashesh Jain, Peter Ondruska
SafetyNet: Safe Planning for Real-World Self-Driving Vehicles Using Machine-Learned Policies. ICRA (2022)
Michal Zawalski, Blazej Osinski, Henryk Michalewski, Piotr Milos
Off-Policy Correction For Multi-Agent Reinforcement Learning. AAMAS (2022)
Dhruv Shah, Blazej Osinski, Brian Ichter, Sergey Levine
LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action. CoRL (2022)
Dhruv Shah, Blazej Osinski, Brian Ichter, Sergey Levine
LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action. CoRR (2022)
Oliver Scheel, Luca Bergamini, Maciej Wolczyk, Blazej Osinski, Peter Ondruska
Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients. CoRR (2021)
Long Chen, Lukas Platinsky, Stefanie Speichert, Blazej Osinski, Oliver Scheel, Yawei Ye, Hugo Grimmett, Luca Del Pero, Peter Ondruska
What data do we need for training an AV motion planner? CoRR (2021)
Michal Zawalski, Blazej Osinski, Henryk Michalewski, Piotr Milos
Off-Policy Correction For Multi-Agent Reinforcement Learning. CoRR (2021)
Long Chen, Lukas Platinsky, Stefanie Speichert, Blazej Osinski, Oliver Scheel, Yawei Ye, Hugo Grimmett, Luca Del Pero, Peter Ondruska
What data do we need for training an AV motion planner? ICRA (2021)
Luca Bergamini, Yawei Ye, Oliver Scheel, Long Chen, Chih Hu, Luca Del Pero, Blazej Osinski, Hugo Grimmett, Peter Ondruska
SimNet: Learning Reactive Self-driving Simulations from Real-world Observations. CoRR (2021)
Matt Vitelli, Yan Chang, Yawei Ye, Maciej Wolczyk, Blazej Osinski, Moritz Niendorf, Hugo Grimmett, Qiangui Huang, Ashesh Jain, Peter Ondruska
SafetyNet: Safe planning for real-world self-driving vehicles using machine-learned policies. CoRR (2021)
Luca Bergamini, Yawei Ye, Oliver Scheel, Long Chen, Chih Hu, Luca Del Pero, Blazej Osinski, Hugo Grimmett, Peter Ondruska
SimNet: Learning Reactive Self-driving Simulations from Real-world Observations. ICRA (2021)
Oliver Scheel, Luca Bergamini, Maciej Wolczyk, Blazej Osinski, Peter Ondruska
Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients. CoRL (2021)
Blazej Osinski, Adam Jakubowski, Pawel Ziecina, Piotr Milos, Christopher Galias, Silviu Homoceanu, Henryk Michalewski
Simulation-Based Reinforcement Learning for Real-World Autonomous Driving. ICRA (2020)
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
Model Based Reinforcement Learning for Atari. ICLR (2020)
Blazej Osinski, Piotr Milos, Adam Jakubowski, Pawel Ziecina, Michal Martyniak, Christopher Galias, Antonia Breuer, Silviu Homoceanu, Henryk Michalewski
CARLA Real Traffic Scenarios - novel training ground and benchmark for autonomous driving. CoRR (2020)
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
Model-Based Reinforcement Learning for Atari. CoRR (2019)
Blazej Osinski, Adam Jakubowski, Piotr Milos, Pawel Ziecina, Christopher Galias, Silviu Homoceanu, Henryk Michalewski
Simulation-based reinforcement learning for real-world autonomous driving. CoRR (2019)
Lukasz Kidzinski, Sharada Prasanna Mohanty, Carmichael F. Ong, Zhewei Huang, Shuchang Zhou, Anton Pechenko, Adam Stelmaszczyk, Piotr Jarosik, Mikhail Pavlov, Sergey Kolesnikov, Sergey M. Plis, Zhibo Chen, Zhizheng Zhang, Jiale Chen, Jun Shi, Zhuobin Zheng, Chun Yuan, Zhihui Lin, Henryk Michalewski, Piotr Milos, Blazej Osinski, Andrew Melnik, Malte Schilling, Helge J. Ritter, Sean F. Carroll, Jennifer L. Hicks, Sergey Levine, Marcel Salathé, Scott L. Delp
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments. CoRR (2018)