Accelerated Primal-Dual Policy Optimization for Safe Reinforcement Learning

19 February 2018

Papers citing "Accelerated Primal-Dual Policy Optimization for Safe Reinforcement Learning"

22 / 22 papers shown

Title
When to Localize? A Risk-Constrained Reinforcement Learning Approach Chak Lam Shek Kasra Torshizi Troi Williams Pratap Tokekar 41 2 0 05 Nov 2024
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 49 1 0 06 Jun 2024
Constrained Reinforcement Learning Under Model Mismatch Zhongchang Sun Sihong He Fei Miao Shaofeng Zou 48 4 0 02 May 2024
Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion Tairan He Chong Zhang Wenli Xiao Guanqi He Changliu Liu Guanya Shi 47 59 0 31 Jan 2024
A Safe Reinforcement Learning Algorithm for Supervisory Control of Power Plants Yixuan Sun Sami Khairy Richard B. Vilim Rui Hu Akshay J. Dave 29 2 0 23 Jan 2024
A safe exploration approach to constrained Markov decision processes Tingting Ni Maryam Kamgarpour 46 3 0 01 Dec 2023
Accuracy-Guaranteed Collaborative DNN Inference in Industrial IoT via Deep Reinforcement Learning Wen Wu Peng Yang Weiting Zhang Conghao Zhou Xuemin X. Shen 24 103 0 31 Dec 2022
Policy Gradients for Probabilistic Constrained Reinforcement Learning Weiqin Chen D. Subramanian Santiago Paternain 29 6 0 02 Oct 2022
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 79 45 0 16 Sep 2022
Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL) Washim Uddin Mondal Vaneet Aggarwal S. Ukkusuri 37 4 0 15 Sep 2022
Constrained Update Projection Approach to Safe Policy Optimization Long Yang Jiaming Ji Juntao Dai Linrui Zhang Binbin Zhou Pengfei Li Yaodong Yang Gang Pan 41 43 0 15 Sep 2022
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 48 35 0 29 May 2022
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
Learning Infinite-Horizon Average-Reward Markov Decision Processes with Constraints Liyu Chen R. Jain Haipeng Luo 62 25 0 31 Jan 2022
Towards Disturbance-Free Visual Mobile Manipulation Tianwei Ni Kiana Ehsani Luca Weihs Jordi Salvador 28 9 0 17 Dec 2021
Finite-Time Complexity of Online Primal-Dual Natural Actor-Critic Algorithm for Constrained Markov Decision Processes Sihan Zeng Thinh T. Doan Justin Romberg 102 17 0 21 Oct 2021
Constraints Penalized Q-learning for Safe Offline Reinforcement Learning Haoran Xu Xianyuan Zhan Xiangyu Zhu OffRL 16 86 0 19 Jul 2021
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs Tao-Wen Liu Ruida Zhou D. Kalathil P. R. Kumar Chao Tian 42 78 0 04 Jun 2021
CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee Tengyu Xu Yingbin Liang Guanghui Lan 52 122 0 11 Nov 2020
Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs Aria HasanzadeZonuzy Archana Bura D. Kalathil S. Shakkottai 32 38 0 01 Aug 2020
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization Dongsheng Ding Xiaohan Wei Zhuoran Yang Zhaoran Wang M. Jovanović 25 159 0 01 Mar 2020
IPO: Interior-point Policy Optimization under Constraints Yongshuai Liu J. Ding Xin Liu 24 176 0 21 Oct 2019