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Convergent Policy Optimization for Safe Reinforcement Learning

Convergent Policy Optimization for Safe Reinforcement Learning

26 October 2019
Ming Yu
Zhuoran Yang
Mladen Kolar
Zhaoran Wang
ArXivPDFHTML

Papers citing "Convergent Policy Optimization for Safe Reinforcement Learning"

12 / 12 papers shown
Title
When to Localize? A Risk-Constrained Reinforcement Learning Approach
When to Localize? A Risk-Constrained Reinforcement Learning Approach
Chak Lam Shek
Kasra Torshizi
Troi Williams
Pratap Tokekar
39
2
0
05 Nov 2024
GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model
GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model
Zhehua Zhou
Xuan Xie
Jiayang Song
Zhan Shu
Lei Ma
37
1
0
06 Jun 2024
Constrained Reinforcement Learning Under Model Mismatch
Constrained Reinforcement Learning Under Model Mismatch
Zhongchang Sun
Sihong He
Fei Miao
Shaofeng Zou
38
4
0
02 May 2024
Learning to Recover for Safe Reinforcement Learning
Learning to Recover for Safe Reinforcement Learning
Haoyu Wang
Xin Yuan
Qinqing Ren
26
0
0
21 Sep 2023
Quantile Constrained Reinforcement Learning: A Reinforcement Learning
  Framework Constraining Outage Probability
Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability
Whiyoung Jung
Myungsik Cho
Jongeui Park
Young-Jin Sung
17
4
0
28 Nov 2022
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
64
45
0
16 Sep 2022
Sampling Through the Lens of Sequential Decision Making
Sampling Through the Lens of Sequential Decision Making
J. Dou
Alvin Pan
Runxue Bao
Haiyi Mao
Lei Luo
Zhi-Hong Mao
20
19
0
17 Aug 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
37
35
0
29 May 2022
Model-Based Safe Reinforcement Learning with Time-Varying State and
  Control Constraints: An Application to Intelligent Vehicles
Model-Based Safe Reinforcement Learning with Time-Varying State and Control Constraints: An Application to Intelligent Vehicles
Xinglong Zhang
Yaoqian Peng
Biao Luo
Wei Pan
Xin Xu
Haibin Xie
11
11
0
18 Dec 2021
Risk Conditioned Neural Motion Planning
Risk Conditioned Neural Motion Planning
Xin Huang
Meng Feng
A. Jasour
Guy Rosman
B. Williams
11
6
0
04 Aug 2021
CRPO: A New Approach for Safe Reinforcement Learning with Convergence
  Guarantee
CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee
Tengyu Xu
Yingbin Liang
Guanghui Lan
34
121
0
11 Nov 2020
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled
  Wireless Networks: A Tutorial
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial
Amal Feriani
E. Hossain
14
236
0
06 Nov 2020
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