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| Lm-nav: Robotic navigation with large pre-trained models of language, vision, and action D Shah*, B Osiński*, B Ichter, S Levine Conference on Robot Learning, 492-504, 2023 | 205 | 2023 |
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| Safetynet: Safe planning for real-world self-driving vehicles using machine-learned policies M Vitelli, Y Chang, Y Ye, A Ferreira, M Wołczyk, B Osiński, M Niendorf, ... 2022 International Conference on Robotics and Automation (ICRA), 897-904, 2022 | 46 | 2022 |
| What is reinforcement learning? The complete guide B Osiński, K Budek https://deepsense.ai/what-is-reinforcement-learning-the-complete-guide/, 2018 | 44 | 2018 |
| Navigation with large language models: Semantic guesswork as a heuristic for planning D Shah, MR Equi, B Osiński, F Xia, B Ichter, S Levine Conference on Robot Learning, 2683-2699, 2023 | 27 | 2023 |
| 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 | 23 | 2020 |
| 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 | 9 | 2021 |
| Off-Policy Correction For Multi-Agent Reinforcement Learning M Zawalski, B Osiński, H Michalewski, P Miłoś arXiv preprint arXiv:2111.11229, 2021 | 2 | 2021 |
