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CUP: A Conservative Update Policy Algorithm for Safe Reinforcement
  Learning

CUP: A Conservative Update Policy Algorithm for Safe Reinforcement Learning

15 February 2022
Long Yang
Jiaming Ji
Juntao Dai
Yu Zhang
Pengfei Li
Gang Pan
ArXivPDFHTML

Papers citing "CUP: A Conservative Update Policy Algorithm for Safe Reinforcement Learning"

6 / 6 papers shown
Title
A Graph-Based Reinforcement Learning Approach with Frontier Potential Based Reward for Safe Cluttered Environment Exploration
A Graph-Based Reinforcement Learning Approach with Frontier Potential Based Reward for Safe Cluttered Environment Exploration
Gabriele Calzolari
Vidya Sumathy
Christoforos Kanellakis
G. Nikolakopoulos
246
0
0
16 Apr 2025
Marvel: Accelerating Safe Online Reinforcement Learning with Finetuned Offline Policy
Marvel: Accelerating Safe Online Reinforcement Learning with Finetuned Offline Policy
Keru Chen
Honghao Wei
Zhigang Deng
Sen Lin
OffRL
OnRL
99
0
0
31 Dec 2024
Hamilton-Jacobi Reachability in Reinforcement Learning: A Survey
Hamilton-Jacobi Reachability in Reinforcement Learning: A Survey
Milan Ganai
Sicun Gao
Sylvia Herbert
45
6
0
12 Jul 2024
Safe Offline Reinforcement Learning with Real-Time Budget Constraints
Safe Offline Reinforcement Learning with Real-Time Budget Constraints
Qian Lin
Bo Tang
Zifan Wu
Chao Yu
Shangqin Mao
Qianlong Xie
Xingxing Wang
Dong Wang
OffRL
41
11
0
01 Jun 2023
Efficient Exploration Using Extra Safety Budget in Constrained Policy
  Optimization
Efficient Exploration Using Extra Safety Budget in Constrained Policy Optimization
Haotian Xu
Shengjie Wang
Zhaolei Wang
Yunzhe Zhang
Qing Zhuo
Yang Gao
Tao Zhang
18
0
0
28 Feb 2023
A Review of Safe Reinforcement Learning: Methods, Theory and
  Applications
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
117
241
0
20 May 2022
1