Ziyi Wang

According to our database, Ziyi Wang authored at least 18 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Maximum Entropy Differential Dynamic Programming.

Oswin So, Ziyi Wang, Evangelos A. Theodorou

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Deep Graphic FBSDEs for Opinion Dynamics Stochastic Control.

Tianrong Chen, Ziyi Wang, Evangelos A. Theodorou

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Variational Inference MPC using Tsallis Divergence.

Ziyi Wang, Oswin So, Jason Gibson, Bogdan I. Vlahov, Manan Gandhi, Guan-Horng Liu, Evangelos A. Theodorou

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Adaptive Risk Sensitive Model Predictive Control with Stochastic Search.

Ziyi Wang, Oswin So, Keuntaek Lee, Evangelos A. Theodorou

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Large-Scale Multi-Agent Deep FBSDEs.

Tianrong Chen, Ziyi Wang, Ioannis Exarchos, Evangelos A. Theodorou

Proceedings of the 38th International Conference on Machine Learning, 2021

NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-end Learning and Control.

Ioannis Exarchos, Marcus Aloysius Pereira, Ziyi Wang, Evangelos A. Theodorou

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Multi-agent Deep FBSDE Representation For Large Scale Stochastic Differential Games.

Tianrong Chen, Ziyi Wang, Ioannis Exarchos, Evangelos A. Theodorou

CoRR, 2020

Adaptive CVaR Optimization for Dynamical Systems with Path Space Stochastic Search.

Ziyi Wang, Oswin So, Keuntaek Lee, Camilo A. Duarte, Evangelos A. Theodorou

CoRR, 2020

Non-convex Optimization via Adaptive Stochastic Search for End-to-End Learning and Control.

Ioannis Exarchos, Marcus A. Pereira, Ziyi Wang, Evangelos A. Theodorou

CoRR, 2020

Feynman-Kac Neural Network Architectures for Stochastic Control Using Second-Order FBSDE Theory.

Marcus Pereira, Ziyi Wang, Tianrong Chen, Emily A. Reed, Evangelos A. Theodorou

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Constrained Sampling-based Trajectory Optimization using Stochastic Approximation.

George I. Boutselis, Ziyi Wang, Evangelos A. Theodorou

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs.

Marcus Pereira, Ziyi Wang, Ioannis Exarchos, Evangelos A. Theodorou

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Deep 2FBSDEs for Systems with Control Multiplicative Noise.

Ziyi Wang, Marcus A. Pereira, Evangelos A. Theodorou

CoRR, 2019

Neural Network Architectures for Stochastic Control using the Nonlinear Feynman-Kac Lemma.

Marcus Pereira, Ziyi Wang, Ioannis Exarchos, Evangelos A. Theodorou

CoRR, 2019

Learning Deep Stochastic Optimal Control Policies Using Forward-Backward SDEs.

Ziyi Wang, Marcus Pereira, Evangelos A. Theodorou

Proceedings of the Robotics: Science and Systems XV, 2019

Ensemble Bayesian Decision Making with Redundant Deep Perceptual Control Policies.

Keuntaek Lee, Ziyi Wang, Bogdan I. Vlahov, Harleen K. Brar, Evangelos A. Theodorou

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Deep Forward-Backward SDEs for Min-max Control.

Ziyi Wang, Keuntaek Lee, Marcus A. Pereira, Ioannis Exarchos, Evangelos A. Theodorou

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Information Theoretic Model Predictive Control on Jump Diffusion Processes.

Ziyi Wang, Grady Williams, Evangelos A. Theodorou

Proceedings of the 2019 American Control Conference, 2019