| Online algorithms for POMDPs with continuous state, action, and observation spaces Z Sunberg, M Kochenderfer Proceedings of the International Conference on Automated Planning and …, 2018 | 147 | 2018 |
| POMDPs. jl: A framework for sequential decision making under uncertainty M Egorov, ZN Sunberg, E Balaban, TA Wheeler, JK Gupta, ... The Journal of Machine Learning Research 18 (1), 831-835, 2017 | 117 | 2017 |
| The value of inferring the internal state of traffic participants for autonomous freeway driving ZN Sunberg, CJ Ho, MJ Kochenderfer 2017 American control conference (ACC), 3004-3010, 2017 | 91 | 2017 |
| Information space receding horizon control for multisensor tasking problems Z Sunberg, S Chakravorty, RS Erwin IEEE transactions on cybernetics 46 (6), 1325-1336, 2015 | 41 | 2015 |
| Inference-based strategy alignment for general-sum differential games L Peters, D Fridovich-Keil, CJ Tomlin, ZN Sunberg arXiv preprint arXiv:2002.04354, 2020 | 24 | 2020 |
| A belief function distance metric for orderable sets Z Sunberg, J Rogers Information Fusion 14 (4), 361-373, 2013 | 22 | 2013 |
| Optimized and trusted collision avoidance for unmanned aerial vehicles using approximate dynamic programming ZN Sunberg, MJ Kochenderfer, M Pavone 2016 IEEE International Conference on Robotics and Automation (ICRA), 1455-1461, 2016 | 21 | 2016 |
| POMCPOW: An online algorithm for POMDPs with continuous state, action, and observation spaces Z Sunberg, MJ Kochenderfer arXiv preprint arXiv:1709.06196, 2017 | 20 | 2017 |
| Information space receding horizon control Z Sunberg, S Chakravorty, RS Erwin IEEE transactions on cybernetics 43 (6), 2255-2260, 2013 | 19 | 2013 |
| Helicopter autorotation controller JD Rogers, ZN Sunberg US Patent App. 14/305,413, 2018 | 17 | 2018 |
| Simultaneous active parameter estimation and control using sampling-based Bayesian reinforcement learning P Slade, P Culbertson, Z Sunberg, M Kochenderfer 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 16 | 2017 |
| Sparse tree search optimality guarantees in POMDPs with continuous observation spaces MH Lim, CJ Tomlin, ZN Sunberg arXiv preprint arXiv:1910.04332, 2019 | 15 | 2019 |
| Bayesian optimized monte carlo planning J Mern, A Yildiz, Z Sunberg, T Mukerji, MJ Kochenderfer Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11880 …, 2021 | 14 | 2021 |
| A Real-time expert control system for helicopter autorotation ZN Sunberg, NR Miller, JD Rogers Journal of the American Helicopter Society 60 (2), 1-15, 2015 | 14 | 2015 |
| Information space sensor tasking for space situational awareness Z Sunberg, S Chakravorty, R Erwin 2014 American Control Conference, 79-84, 2014 | 11 | 2014 |
| Improving automated driving through planning with human internal states Z Sunberg, M Kochenderfer arXiv preprint arXiv:2005.14549, 2020 | 10* | 2020 |
| Stochastic optimization for sensor allocation using AEGIS-FISST II Hussein, Z Sunberg, S Chakravorty, M Jah, R Erwin AMOS conference, 2014 | 8 | 2014 |
| Voronoi progressive widening: efficient online solvers for continuous state, action, and observation POMDPs MH Lim, CJ Tomlin, ZN Sunberg 2021 60th IEEE Conference on Decision and Control (CDC), 4493-4500, 2021 | 7 | 2021 |
| Apf-pf: Probabilistic depth perception for 3d reactive obstacle avoidance S Ahmad, ZN Sunberg, JS Humbert 2021 American Control Conference (ACC), 32-39, 2021 | 5 | 2021 |
| Exploiting hierarchy for scalable decision making in autonomous driving E Sonu, Z Sunberg, MJ Kochenderfer 2018 IEEE Intelligent Vehicles Symposium (IV), 2203-2208, 2018 | 5 | 2018 |
Mykel J. KochenderferAssociate Professor, Stanford UniversityVerified email at stanford.edu
