Gradient Shaping for Multi-Constraint Safe Reinforcement Learning

Gradient Shaping for Multi-Constraint Safe Reinforcement Learning

23 December 2023

Tingnan Zhang

Wenhao Yu

Ding Zhao

Papers citing "Gradient Shaping for Multi-Constraint Safe Reinforcement Learning"

6 / 6 papers shown

Title
Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration Jinning Li Xinyi Liu Banghua Zhu Jiantao Jiao M. Tomizuka Chen Tang Wei Zhan OffRL OnRL 56 9 0 18 Sep 2023
Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models Weiye Zhao Tairan He Changliu Liu 33 21 0 03 Oct 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Bo-wen Li Ding Zhao 61 45 0 16 Sep 2022
A Review of Safe Reinforcement Learning: Methods, Theory and Applications Shangding Gu Longyu Yang Yali Du Guang Chen Florian Walter Jun Wang Alois C. Knoll OffRL AI4TS 102 231 0 20 May 2022
Multi-Agent Constrained Policy Optimisation Shangding Gu J. Kuba Munning Wen Ruiqing Chen Ziyan Wang Zheng Tian Jun Wang Alois Knoll Yaodong Yang 84 49 0 06 Oct 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 321 1,662 0 04 May 2020