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Błażej Osiński
Błażej Osiński
Zweryfikowany adres z mimuw.edu.pl
Tytuł
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Cytowane przez
Rok
Model-based Reinforcement Learning for Atari
L Kaiser*, M Babaeizadeh*, P Milos*, B Osinski*, RH Campbell, ...
ICRL 2020, 2019
4662019
Learning to run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments
Ł Kidziński, SP Mohanty, CF Ong, Z Huang, S Zhou, A Pechenko, ...
The NIPS'17 Competition: Building Intelligent Systems, 121-153, 2018
582018
Simulation-based reinforcement learning for real-world autonomous driving
B Osiński, A Jakubowski, P Zięcina, P Miłoś, C Galias, S Homoceanu, ...
2020 IEEE International Conference on Robotics and Automation (ICRA), 6411-6418, 2020
482020
Simnet: Learning reactive self-driving simulations from real-world observations
L Bergamini, Y Ye, O Scheel, L Chen, C Hu, L Del Pero, B Osiński, ...
2021 IEEE International Conference on Robotics and Automation (ICRA), 5119-5125, 2021
132021
What is reinforcement learning
B Osiński, K Budek
The complete guide, 2018
132018
CARLA Real Traffic Scenarios--novel training ground and benchmark for autonomous driving
B Osiński, P Miłoś, A Jakubowski, P Zięcina, M Martyniak, C Galias, ...
arXiv preprint arXiv:2012.11329, 2020
112020
Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients
O Scheel, L Bergamini, M Wolczyk, B Osiński, P Ondruska
Conference on Robot Learning, 718-728, 2022
32022
SafetyNet: Safe planning for real-world self-driving vehicles using machine-learned policies
M Vitelli, Y Chang, Y Ye, M Wołczyk, B Osiński, M Niendorf, H Grimmett, ...
arXiv preprint arXiv:2109.13602, 2021
12021
What data do we need for training an AV motion planner?
L Chen, L Platinsky, S Speichert, B Osiński, O Scheel, Y Ye, H Grimmett, ...
2021 IEEE International Conference on Robotics and Automation (ICRA), 1066-1072, 2021
12021
Off-Policy Correction For Multi-Agent Reinforcement Learning
M Zawalski, B Osiński, H Michalewski, P Miłoś
arXiv preprint arXiv:2111.11229, 2021
2021
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