Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2103.09230
Cited By
Lyapunov Barrier Policy Optimization
16 March 2021
Harshit S. Sikchi
Wenxuan Zhou
David Held
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Lyapunov Barrier Policy Optimization"
11 / 11 papers shown
Title
Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning
Jonas Günster
Puze Liu
Jan Peters
Davide Tateo
OffRL
23
2
0
18 Sep 2024
Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications
Puze Liu
Haitham Bou-Ammar
Jan Peters
Davide Tateo
43
7
0
13 Apr 2024
Reinforcement Learning with Ensemble Model Predictive Safety Certification
Sven Gronauer
Tom Haider
Felippe Schmoeller da Roza
Klaus Diepold
18
3
0
06 Feb 2024
Efficient Off-Policy Safe Reinforcement Learning Using Trust Region Conditional Value at Risk
Dohyeong Kim
Songhwai Oh
OffRL
17
19
0
01 Dec 2023
A Policy Optimization Method Towards Optimal-time Stability
Shengjie Wang
Lan Fengb
Xiang Zheng
Yu-wen Cao
Oluwatosin Oseni
Haotian Xu
Tao Zhang
Yang Gao
39
1
0
02 Jan 2023
Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm
Ashish Kumar Jayant
S. Bhatnagar
OffRL
18
37
0
14 Oct 2022
Safe Driving via Expert Guided Policy Optimization
Zhenghao Peng
Quanyi Li
Chunxiao Liu
Bolei Zhou
OffRL
23
41
0
13 Oct 2021
Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning
Hao-Lun Hsu
Qiuhua Huang
Sehoon Ha
OffRL
42
11
0
29 Sep 2021
Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations
Yuping Luo
Tengyu Ma
OffRL
28
43
0
04 Aug 2021
Safe Exploration by Solving Early Terminated MDP
Hao Sun
Ziping Xu
Meng Fang
Zhenghao Peng
Jiadong Guo
Bo Dai
Bolei Zhou
11
16
0
09 Jul 2021
Learning Off-Policy with Online Planning
Harshit S. Sikchi
Wenxuan Zhou
David Held
OffRL
31
45
0
23 Aug 2020
1