Probabilistically safe robot planning with confidence-based human predictions JF Fisac, A Bajcsy, SL Herbert, D Fridovich-Keil, S Wang, CJ Tomlin, ... arXiv preprint arXiv:1806.00109, 2018 | 140 | 2018 |
Confidence-aware motion prediction for real-time collision avoidance1 D Fridovich-Keil, A Bajcsy, JF Fisac, SL Herbert, S Wang, AD Dragan, ... The International Journal of Robotics Research 39 (2-3), 250-265, 2020 | 125 | 2020 |
imitation: Clean imitation learning implementations A Gleave, M Taufeeque, J Rocamonde, E Jenner, SH Wang, S Toyer, ... arXiv preprint arXiv:2211.11972, 2022 | 53* | 2022 |
An empirical investigation of representation learning for imitation X Chen, S Toyer, C Wild, S Emmons, I Fischer, KH Lee, N Alex, SH Wang, ... arXiv preprint arXiv:2205.07886, 2022 | 29 | 2022 |
The MineRL BASALT competition on learning from human feedback R Shah, C Wild, SH Wang, N Alex, B Houghton, W Guss, S Mohanty, ... arXiv preprint arXiv:2107.01969, 2021 | 26 | 2021 |
MAUD: An Expert-Annotated Legal NLP Dataset for Merger Agreement Understanding S Wang, A Scardigli, L Tang, W Chen, D Levkin, A Chen, S Ball, ... Empirical Methods in Natural Language Processing (EMNLP), 2023 | 11 | 2023 |
Retrospective on the 2021 minerl BASALT competition on learning from human feedback R Shah, SH Wang, C Wild, S Milani, A Kanervisto, VG Goecks, ... NeurIPS 2021 Competitions and Demonstrations Track, 259-272, 2022 | 9* | 2022 |
SPECIAL SECTION ON MACHINE LEARNING FOR SMART ELECTRONIC SYSTEMS WJ Chang, LB Chen, IC Lin, YK Ou, P Maji, HK Mondal, AP Roy, ... | | |