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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"

10 / 10 papers shown
Title
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning
Shangding Gu
Laixi Shi
Muning Wen
Ming Jin
Eric Mazumdar
Yuejie Chi
Adam Wierman
C. Spanos
OOD
OffRL
36
1
0
27 Feb 2025
Reward-Safety Balance in Offline Safe RL via Diffusion Regularization
Junyu Guo
Zhi Zheng
Donghao Ying
Ming Jin
Shangding Gu
C. Spanos
Javad Lavaei
OffRL
56
0
0
18 Feb 2025
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
53
0
0
28 Jan 2025
Optimal Transport-Assisted Risk-Sensitive Q-Learning
Optimal Transport-Assisted Risk-Sensitive Q-Learning
Zahra Shahrooei
Ali Baheri
29
2
0
17 Jun 2024
Enhancing Efficiency of Safe Reinforcement Learning via Sample
  Manipulation
Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation
Shangding Gu
Laixi Shi
Yuhao Ding
Alois Knoll
C. Spanos
Adam Wierman
Ming Jin
OffRL
35
2
0
31 May 2024
Skin-in-the-Game: Decision Making via Multi-Stakeholder Alignment in
  LLMs
Skin-in-the-Game: Decision Making via Multi-Stakeholder Alignment in LLMs
Bilgehan Sel
Priya Shanmugasundaram
Mohammad Kachuee
Kun Zhou
Ruoxi Jia
Ming Jin
LRM
40
2
0
21 May 2024
Preparing for Black Swans: The Antifragility Imperative for Machine
  Learning
Preparing for Black Swans: The Antifragility Imperative for Machine Learning
Ming Jin
36
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
72
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
165
1,632
0
02 Feb 2020
1