| On the opportunities and risks of foundation models R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv:2108.07258, 2021 | 812 | 2021 |
| Planning for autonomous cars that leverage effects on human actions. D Sadigh, S Sastry, SA Seshia, AD Dragan Robotics: Science and systems 2, 1-9, 2016 | 463 | 2016 |
| Reactive synthesis from signal temporal logic specifications V Raman, A Donzé, D Sadigh, RM Murray, SA Seshia Proceedings of the 18th international conference on hybrid systems …, 2015 | 284 | 2015 |
| Active preference-based learning of reward functions D Sadigh, AD Dragan, S Sastry, SA Seshia | 265 | 2017 |
| Towards verified artificial intelligence SA Seshia, D Sadigh, SS Sastry arXiv preprint arXiv:1606.08514, 2016 | 239 | 2016 |
| Information gathering actions over human internal state D Sadigh, SS Sastry, SA Seshia, A Dragan 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 214 | 2016 |
| Hierarchical game-theoretic planning for autonomous vehicles JF Fisac, E Bronstein, E Stefansson, D Sadigh, SS Sastry, AD Dragan 2019 International conference on robotics and automation (ICRA), 9590-9596, 2019 | 178 | 2019 |
| A learning based approach to control synthesis of markov decision processes for linear temporal logic specifications D Sadigh, ES Kim, S Coogan, SS Sastry, SA Seshia 53rd IEEE Conference on Decision and Control, 1091-1096, 2014 | 167 | 2014 |
| Multi-agent generative adversarial imitation learning J Song, H Ren, D Sadigh, S Ermon Advances in neural information processing systems 31, 2018 | 158 | 2018 |
| Planning for cars that coordinate with people: leveraging effects on human actions for planning and active information gathering over human internal state D Sadigh, N Landolfi, SS Sastry, SA Seshia, AD Dragan Autonomous Robots 42, 1405-1426, 2018 | 140 | 2018 |
| Safe control under uncertainty with probabilistic signal temporal logic D Sadigh, A Kapoor Proceedings of Robotics: Science and Systems XII, 2016 | 134 | 2016 |
| Synthesis for human-in-the-loop control systems W Li, D Sadigh, SS Sastry, SA Seshia Tools and Algorithms for the Construction and Analysis of Systems: 20th …, 2014 | 130 | 2014 |
| Data-driven probabilistic modeling and verification of human driver behavior D Sadigh, K Driggs-Campbell, A Puggelli, W Li, V Shia, R Bajcsy, ... AAAI Spring Symposium-Technical Report, 56-61, 2014 | 102 | 2014 |
| Automating exercise generation: A step towards meeting the MOOC challenge for embedded systems D Sadigh, SA Seshia, M Gupta Proceedings of the workshop on embedded and cyber-physical systems education …, 2012 | 99 | 2012 |
| Learning reward functions by integrating human demonstrations and preferences M Palan, NC Landolfi, G Shevchuk, D Sadigh arXiv preprint arXiv:1906.08928, 2019 | 98 | 2019 |
| Learning latent representations to influence multi-agent interaction A Xie, D Losey, R Tolsma, C Finn, D Sadigh Conference on robot learning, 575-588, 2021 | 72 | 2021 |
| Asking easy questions: A user-friendly approach to active reward learning E Bıyık, M Palan, NC Landolfi, DP Losey, D Sadigh arXiv preprint arXiv:1910.04365, 2019 | 67 | 2019 |
| When humans aren't optimal: Robots that collaborate with risk-aware humans M Kwon, E Biyik, A Talati, K Bhasin, DP Losey, D Sadigh Proceedings of the 2020 ACM/IEEE international conference on human-robot …, 2020 | 64 | 2020 |
| Batch active preference-based learning of reward functions E Biyik, D Sadigh Conference on robot learning, 519-528, 2018 | 64 | 2018 |
| Safe autonomy under perception uncertainty using chance-constrained temporal logic S Jha, V Raman, D Sadigh, SA Seshia Journal of Automated Reasoning 60, 43-62, 2018 | 59 | 2018 |
Sanjit A. SeshiaProfessor of EECS, University of California, BerkeleyVerified email at eecs.berkeley.edu
