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Ziyi "Pat" Wang
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Learning Deep Stochastic Optimal Control Policies using Forward-Backward SDEs
MA Pereira, Z Wang, I Exarchos, EA Theodorou
Robotics: Science and Systems 2019, 2019
54*2019
Ensemble bayesian decision making with redundant deep perceptual control policies
K Lee, Z Wang, B Vlahov, H Brar, EA Theodorou
2019 18th IEEE International Conference On Machine Learning And Applications …, 2019
312019
Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs
MA Pereira, Z Wang, I Exarchos, EA Theodorou
Conference on Robot Learning, 2020
282020
Variational Inference MPC using Tsallis Divergence
Z Wang, O So, J Gibson, B Vlahov, MS Gandhi, GH Liu, EA Theodorou
Robotics: Science and Systems 2021, 2021
202021
Feynman-Kac Neural Network Architectures for Stochastic Control Using Second-Order FBSDE Theory
M Pereira, Z Wang, T Chen, E Reed, E Theodorou
2nd Annual Conference on Learning for Dynamics and Control, 728-738, 2020
20*2020
Deep Forward-Backward SDEs for Min-Max Control
Z Wang, K Lee, MA Pereira, I Exarchos, EA Theodorou
2019 IEEE 58th Conference on Decision and Control (CDC), 6807-6814, 2019
192019
Adaptive risk sensitive model predictive control with stochastic search
Z Wang, O So, K Lee, EA Theodorou
Learning for Dynamics and Control, 510-522, 2021
13*2021
Constrained sampling-based trajectory optimization using stochastic approximation
GI Boutselis, Z Wang, EA Theodorou
2020 IEEE International Conference on Robotics and Automation (ICRA), 2522-2528, 2020
132020
Information theoretic model predictive control on jump diffusion processes
Z Wang, G Williams, EA Theodorou
2019 American Control Conference (ACC), 1663-1670, 2019
112019
Maximum Entropy Differential Dynamic Programming
O So, Z Wang, EA Theodorou
2022 IEEE International Conference on Robotics and Automation (ICRA), 2021
92021
Large-Scale Multi-Agent Deep FBSDEs
T Chen, Z Wang, I Exarchos, E Theodorou
International Conference on Machine Learning, 1740-1748, 2021
62021
Novas: Non-convex optimization via adaptive stochastic search for end-to-end learning and control
I Exarchos, MA Pereira, Z Wang, EA Theodorou
The International Conference on Learning Representations (ICLR), 2021, 2020
6*2020
Learning quantum-state feedback control with backpropagation-free stochastic optimization
EN Evans, Z Wang, AG Frim, MR DeWeese, EA Theodorou
Physical Review A 106 (5), 052405, 2022
3*2022
Deep Graphic FBSDEs for Opinion Dynamics Stochastic Control
T Chen, Z Wang, EA Theodorou
2022 IEEE 61st Conference on Decision and Control (CDC), 2022
22022
Sampling-based optimization for multi-agent model predictive control
Z Wang, AD Saravanos, H Almubarak, O So, EA Theodorou
arXiv preprint arXiv:2211.11878, 2022
12022
Opinion dynamics steering using stochastic search
Z Wang, EA Theodorou
arXiv preprint arXiv:2204.00584, 2022
12022
QGASS: a gradient-free stochastic feedback control approach for arbitrary open quantum systems
E Evans, A Frim, Z Wang, E Theodorou, M DeWeese
Bulletin of the American Physical Society, 2024
2024
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Artiklar 1–17