| Multi-agent imitation learning for driving simulation RP Bhattacharyya, DJ Phillips, B Wulfe, J Morton, A Kuefler, ... 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 122 | 2018 |
| Modeling human driving behavior through generative adversarial imitation learning R Bhattacharyya, B Wulfe, DJ Phillips, A Kuefler, J Morton, R Senanayake, ... IEEE Transactions on Intelligent Transportation Systems 24 (3), 2874-2887, 2022 | 89 | 2022 |
| Heterogeneous-agent trajectory forecasting incorporating class uncertainty B Ivanovic, KH Lee, P Tokmakov, B Wulfe, R Mcllister, A Gaidon, ... 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 32 | 2022 |
| Control-Aware Prediction Objectives for Autonomous Driving R McAllister, B Wulfe, J Mercat, L Ellis, S Levine, A Gaidon IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022 | 21 | 2022 |
| Real-time prediction of intermediate-horizon automotive collision risk B Wulfe, S Chintakindi, SCT Choi, R Hartong-Redden, A Kodali, ... Autonomous Agents and Multi-Agent Systems, 2018 | 20 | 2018 |
| Measuring sample efficiency and generalization in reinforcement learning benchmarks: Neurips 2020 procgen benchmark S Mohanty, J Poonganam, A Gaidon, A Kolobov, B Wulfe, D Chakraborty, ... arXiv preprint arXiv:2103.15332, 2021 | 19 | 2021 |
| Dynamics-Aware Comparison of Learned Reward Functions B Wulfe, A Balakrishna, L Ellis, J Mercat, R McAllister, A Gaidon International Conference on Learning Representations, 2022 | 13 | 2022 |
| Collision avoidance for unmanned aircraft using coordination tables RE Tompa, B Wulfe, MP Owen, MJ Kochenderfer 2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC), 1-9, 2016 | 12 | 2016 |
| RAP: Risk-Aware Prediction for Robust Planning H Nishimura, J Mercat, B Wulfe, R McAllister, A Gaidon Conference on Robot Learning, 2022 | 9 | 2022 |
| Horizontal maneuver coordination for aircraft collision-avoidance systems RE Tompa, B Wulfe, MJ Kochenderfer, MP Owen Journal of Aerospace Information Systems 15 (2), 92-106, 2018 | 6 | 2018 |
| Systems and methods for corridor intent prediction BW Wulfe, W Burgard US Patent 11,783,178, 2023 | 1 | 2023 |
| Planning-aware prediction for control-aware autonomous driving modules RT Mcallister, BW Wulfe, J Mercat, LM Ellis, S Levine, AD Gaidon US Patent App. 17/570,168, 2023 | 1 | 2023 |
| Recognizing Cities from Street View Images D Hershey, B Wulfe | 1 | 2015 |
| DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset A Khazatsky, K Pertsch, S Nair, A Balakrishna, S Dasari, S Karamcheti, ... arXiv preprint arXiv:2403.12945, 2024 | | 2024 |
| Systems and methods for multiple algorithm selection BW Wulfe, G Rosman, NJ Epstein, LD Fletcher US Patent App. 18/480,248, 2024 | | 2024 |
| Systems and methods for multiple algorithm selection BW Wulfe, G Rosman, NJ Epstein, LD Fletcher US Patent 11,807,272, 2023 | | 2023 |
| Vehicles, systems and methods for automatically detecting a state of signal lights of a vehicle N Nagasaka, B Wulfe, KH Lee, JEM Pan US Patent App. 17/667,876, 2023 | | 2023 |
| Method and system for learning reward functions for driving using positive-unlabeled reward learning B Wulfe, A Gaidon US Patent App. 17/586,389, 2023 | | 2023 |
| Systems and methods for dynamics-aware comparison of reward functions BW Wulfe, R McAllister, AD Gaidon US Patent App. 17/570,468, 2023 | | 2023 |
| Systems and methods for hybrid prediction framework with inductive bias BW Wulfe, J Ge, J Li US Patent 11,577,759, 2023 | | 2023 |
Mykel J. KochenderferAssociate Professor, Stanford UniversityVerified email at stanford.edu
