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Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation

Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation

2 May 2024
Shangding Gu
Bilgehan Sel
Yuhao Ding
Lu Wang
Qingwei Lin
Ming Jin
Alois Knoll
ArXivPDFHTML

Papers citing "Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation"

5 / 5 papers shown
Title
Learning-Enhanced Safeguard Control for High-Relative-Degree Systems: Robust Optimization under Disturbances and Faults
Xinyang Wang
Hongwei Zhang
Shimin Wang
Wei Xiao
M. Guay
51
0
0
28 Jan 2025
Preparing for Black Swans: The Antifragility Imperative for Machine
  Learning
Preparing for Black Swans: The Antifragility Imperative for Machine Learning
Ming Jin
34
2
0
18 May 2024
OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning
  Research
OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research
Jiaming Ji
Jiayi Zhou
Borong Zhang
Juntao Dai
Xuehai Pan
Ruiyang Sun
Weidong Huang
Yiran Geng
Mickel Liu
Yaodong Yang
OffRL
66
47
0
16 May 2023
Constrained Update Projection Approach to Safe Policy Optimization
Constrained Update Projection Approach to Safe Policy Optimization
Long Yang
Jiaming Ji
Juntao Dai
Linrui Zhang
Binbin Zhou
Pengfei Li
Yaodong Yang
Gang Pan
38
42
0
15 Sep 2022
Deep Reinforcement Learning for Autonomous Driving: A Survey
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
143
1,628
0
02 Feb 2020
1