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Constrained Variational Policy Optimization for Safe Reinforcement
  Learning

Constrained Variational Policy Optimization for Safe Reinforcement Learning

28 January 2022
Zuxin Liu
Zhepeng Cen
Vladislav Isenbaev
Wei Liu
Zhiwei Steven Wu
Bo-wen Li
Ding Zhao
ArXivPDFHTML

Papers citing "Constrained Variational Policy Optimization for Safe Reinforcement Learning"

12 / 12 papers shown
Title
Safe Reinforcement Learning in Black-Box Environments via Adaptive Shielding
Safe Reinforcement Learning in Black-Box Environments via Adaptive Shielding
Daniel Bethell
Simos Gerasimou
R. Calinescu
Calum Imrie
OffRL
OnRL
36
0
0
28 May 2024
Feasibility Consistent Representation Learning for Safe Reinforcement
  Learning
Feasibility Consistent Representation Learning for Safe Reinforcement Learning
Zhepeng Cen
Yi-Fan Yao
Zuxin Liu
Ding Zhao
OffRL
40
3
0
20 May 2024
Probabilistic Constrained Reinforcement Learning with Formal
  Interpretability
Probabilistic Constrained Reinforcement Learning with Formal Interpretability
Yanran Wang
Qiuchen Qian
David E. Boyle
16
4
0
13 Jul 2023
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
34
11
0
01 Jun 2023
Constrained Proximal Policy Optimization
Constrained Proximal Policy Optimization
Chengbin Xuan
Feng Zhang
Faliang Yin
H. Lam
16
0
0
23 May 2023
Optimal Transport Perturbations for Safe Reinforcement Learning with
  Robustness Guarantees
Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees
James Queeney
E. C. Ozcan
I. Paschalidis
Christos G. Cassandras
OOD
OffRL
31
5
0
31 Jan 2023
Risk-Averse Model Uncertainty for Distributionally Robust Safe
  Reinforcement Learning
Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning
James Queeney
M. Benosman
OOD
OffRL
33
5
0
30 Jan 2023
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities:
  Robustness, Safety, and Generalizability
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
74
45
0
16 Sep 2022
The Real Deal: A Review of Challenges and Opportunities in Moving
  Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality
The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality
Rex Chen
Fei Fang
Norman M. Sadeh
32
8
0
23 Jun 2022
On the Robustness of Safe Reinforcement Learning under Observational
  Perturbations
On the Robustness of Safe Reinforcement Learning under Observational Perturbations
Zuxin Liu
Zijian Guo
Zhepeng Cen
Huan Zhang
Jie Tan
Bo-wen Li
Ding Zhao
OOD
OffRL
42
35
0
29 May 2022
Finding Safe Zones of policies Markov Decision Processes
Finding Safe Zones of policies Markov Decision Processes
Lee Cohen
Yishay Mansour
Michal Moshkovitz
19
1
0
23 Feb 2022
Towards Safe Reinforcement Learning with a Safety Editor Policy
Towards Safe Reinforcement Learning with a Safety Editor Policy
Haonan Yu
Wei-ping Xu
Haichao Zhang
OffRL
69
31
0
28 Jan 2022
1