1 code implementation • 20 Oct 2023 • WeiYe Zhao, Feihan Li, Yifan Sun, Rui Chen, Tianhao Wei, Changliu Liu
In recent years, trust region on-policy reinforcement learning has achieved impressive results in addressing complex control tasks and gaming scenarios.
1 code implementation • 21 Jun 2023 • WeiYe Zhao, Rui Chen, Yifan Sun, Tianhao Wei, Changliu Liu
In particular, we introduce the framework of Maximum Markov Decision Process, and prove that the worst-case safety violation is bounded under SCPO.
1 code implementation • 23 May 2023 • WeiYe Zhao, Rui Chen, Yifan Sun, Ruixuan Liu, Tianhao Wei, Changliu Liu
Due to the diversity of algorithms and tasks, it remains difficult to compare existing safe RL algorithms.
no code implementations • 6 Feb 2023 • WeiYe Zhao, Tairan He, Rui Chen, Tianhao Wei, Changliu Liu
Despite the tremendous success of Reinforcement Learning (RL) algorithms in simulation environments, applying RL to real-world applications still faces many challenges.
1 code implementation • 3 Oct 2021 • Tianhao Wei, Changliu Liu
It has been extensively studied regarding how to derive a safe control law with a control-affine analytical dynamic model.
no code implementations • 24 Jun 2021 • Tianhao Wei, Changliu Liu
Although neural networks are widely used, it remains challenging to formally verify the safety and robustness of neural networks in real-world applications.
1 code implementation • 5 Aug 2019 • Tianhao Wei, Changliu Liu
In different methods, the energy function is called a potential function, a safety index, or a barrier function.
no code implementations • CVPR 2018 • Guanbin Li, Yuan Xie, Tianhao Wei, Keze Wang, Liang Lin
Image saliency detection has recently witnessed significant progress due to deep convolutional neural networks.
Ranked #2 on Video Salient Object Detection on DAVSOD-Difficult20 (using extra training data)