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Zizhao Wang
Zizhao Wang
UT Austin
Verified email at umich.edu - Homepage
Title
Cited by
Cited by
Year
Appl: Adaptive planner parameter learning
X Xiao, Z Wang, Z Xu, B Liu, G Warnell, G Dhamankar, A Nair, P Stone
Robotics and Autonomous Systems 154, 104132, 2022
622022
Applr: Adaptive planner parameter learning from reinforcement
Z Xu, G Dhamankar, A Nair, X Xiao, G Warnell, B Liu, Z Wang, P Stone
2021 IEEE international conference on robotics and automation (ICRA), 6086-6092, 2021
582021
Appli: Adaptive planner parameter learning from interventions
Z Wang, X Xiao, B Liu, G Warnell, P Stone
2021 IEEE international conference on robotics and automation (ICRA), 6079-6085, 2021
532021
Apple: Adaptive planner parameter learning from evaluative feedback
Z Wang, X Xiao, G Warnell, P Stone
IEEE Robotics and Automation Letters 6 (4), 7744-7749, 2021
482021
From agile ground to aerial navigation: Learning from learned hallucination
Z Wang, X Xiao, AJ Nettekoven, K Umasankar, A Singh, S Bommakanti, ...
arXiv preprint arXiv:2108.09793, 2021
392021
Causal dynamics learning for task-independent state abstraction
Z Wang, X Xiao, Z Xu, Y Zhu, P Stone
arXiv preprint arXiv:2206.13452, 2022
372022
Accelerated Robot Learning via Human Brain Signals
I Akinola, Z Wang, J Shi, X He, P Lapborisuth, J Xu, D Watkins-Valls, ...
IEEE International Conference on Robotics and Automation, 2020, 2019
222019
Variational objectives for Markovian dynamics with backward simulation
A Khalil Moretti, Z Wang, L Wu, I Drori, I Pe’er
ECAI 2020, 1371-1378, 2020
162020
Smoothing nonlinear variational objectives with sequential Monte Carlo
A Moretti, Z Wang, L Wu, I Pe'er
142019
Particle smoothing variational objectives
AK Moretti, Z Wang, L Wu, I Drori, I Pe'er
arXiv preprint arXiv:1909.09734, 2019
132019
Task-independent causal state abstraction
Z Wang, X Xiao, Y Zhu, P Stone
Proceedings of the 35th International Conference on Neural Information …, 2021
112021
Maximizing BCI human feedback using active learning
Z Wang, J Shi, I Akinola, P Allen
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
72020
Learning to correct mistakes: Backjumping in long-horizon task and motion planning
Y Sung, Z Wang, P Stone
Conference on Robot Learning, 2115-2124, 2023
52023
Building minimal and reusable causal state abstractions for reinforcement learning
Z Wang, C Wang, X Xiao, Y Zhu, P Stone
Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 15778 …, 2024
32024
ELDEN: exploration via local dependencies
Z Wang, J Hu, P Stone, R Martín-Martín
Advances in Neural Information Processing Systems 36, 2024
32024
Clamgen: Closed-loop arm motion generation via multi-view vision-based rl
I Akinola, Z Wang, P Allen
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
22021
Adaptive Planner Parameter Learning for Mobile Robot Navigation in the Wild
X Xiao, B Liu, G Warnell, Z Wang, Z Xu, G Dhamankar, A Nair, P Stone
2021
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Articles 1–17