Tianhao Wei | DeepAI

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Featured Co-authors

Rui Chen
77 publications
Yifan Sun
74 publications
Changliu Liu
69 publications
Chenxi Wang
23 publications
Ruixuan Liu
18 publications
Weiye Zhao
13 publications
Tairan He
7 publications
Simin Liu
5 publications
Shucheng Kang
4 publications
Feihan Li
1 publication

∙ 08/25/2023

Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization

Deep reinforcement learning (RL) excels in various control tasks, yet th...

0 Weiye Zhao, et al. ∙

∙ 06/21/2023

State-wise Constrained Policy Optimization

Reinforcement Learning (RL) algorithms have shown tremendous success in ...

0 Weiye Zhao, et al. ∙

∙ 05/23/2023

GUARD: A Safe Reinforcement Learning Benchmark

Due to the trial-and-error nature, it is typically challenging to apply ...

0 Weiye Zhao, et al. ∙

∙ 03/17/2023

Zero-shot Transferable and Persistently Feasible Safe Control for High Dimensional Systems by Consistent Abstraction

Safety is critical in robotic tasks. Energy function based methods have ...

0 Tianhao Wei, et al. ∙

∙ 02/06/2023

State-wise Safe Reinforcement Learning: A Survey

Despite the tremendous success of Reinforcement Learning (RL) algorithms...

0 Weiye Zhao, et al. ∙

∙ 09/19/2022

Safety Index Synthesis via Sum-of-Squares Programming

Control systems often need to satisfy strict safety requirements. Safety...

0 Weiye Zhao, et al. ∙

∙ 09/14/2022

Robust Safe Control for Uncertain Dynamic Models

Model mismatches prevail in real-world applications. Hence it is importa...

0 Tianhao Wei, et al. ∙

∙ 03/06/2022

A Composable Framework for Policy Design, Learning, and Transfer Toward Safe and Efficient Industrial Insertion

Delicate industrial insertion tasks (e.g., PC board assembly) remain cha...

0 Rui Chen, et al. ∙

∙ 10/03/2021

Safe Control with Neural Network Dynamic Models

Safety is critical in autonomous robotic systems. A safe control law ens...

0 Tianhao Wei, et al. ∙

∙ 06/24/2021

Online Verification of Deep Neural Networks under Domain or Weight Shift

Although neural networks are widely used, it remains challenging to form...

0 Tianhao Wei, et al. ∙

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