Safe Policies for Reinforcement Learning via Primal-Dual Methods

20 November 2019

Alejandro Ribeiro

Papers citing "Safe Policies for Reinforcement Learning via Primal-Dual Methods"

21 / 21 papers shown

Title
Feasibility-Aware Pessimistic Estimation: Toward Long-Horizon Safety in Offline RL Zhikun Tao Gang Xiong He Fang Zhen Shen Yunjun Han Qing-Shan Jia OffRL 34 0 0 13 May 2025
When to Localize? A Risk-Constrained Reinforcement Learning Approach Chak Lam Shek Kasra Torshizi Troi Williams Pratap Tokekar 41 2 0 05 Nov 2024
Second-Order Min-Max Optimization with Lazy Hessians Lesi Chen Chengchang Liu Jingzhao Zhang 46 1 0 12 Oct 2024
Edge Intelligence in Satellite-Terrestrial Networks with Hybrid Quantum Computing Siyue Huang Lifeng Wang Xin Wang Bo Tan Wei Ni Kai-Kit Wong 35 1 0 30 Sep 2024
Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form Toshinori Kitamura Tadashi Kozuno Wataru Kumagai Kenta Hoshino Y. Hosoe Kazumi Kasaura Masashi Hamaya Paavo Parmas Yutaka Matsuo 74 1 0 29 Aug 2024
$$\mathrm{E^{2}CFD}$: Towards Effective and Efficient Cost Function Design for Safe Reinforcement Learning via Large Language Model$ $\mathrm{E^{2}CFD}$ : Towards Effective and Efficient Cost Function Design for Safe Reinforcement Learning via Large Language Model Zepeng Wang Chao Ma Linjiang Zhou Libing Wu Lei Yang Xiaochuan Shi Guojun Peng OffRL 45 0 0 08 Jul 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
One-Shot Safety Alignment for Large Language Models via Optimal Dualization Xinmeng Huang Shuo Li Yan Sun Osbert Bastani Hamed Hassani Dongsheng Ding 49 4 0 29 May 2024
Constrained Proximal Policy Optimization Chengbin Xuan Feng Zhang Faliang Yin H. Lam 26 0 0 23 May 2023
Policy Gradients for Probabilistic Constrained Reinforcement Learning Weiqin Chen D. Subramanian Santiago Paternain 29 6 0 02 Oct 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
Generalized Policy Improvement Algorithms with Theoretically Supported Sample Reuse James Queeney I. Paschalidis Christos G. Cassandras OffRL 32 2 0 28 Jun 2022
Provably Efficient Model-Free Constrained RL with Linear Function Approximation A. Ghosh Xingyu Zhou Ness B. Shroff 75 23 0 23 Jun 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
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 27 11 0 18 Dec 2021
Safe Policy Optimization with Local Generalized Linear Function Approximations Akifumi Wachi Yunyue Wei Yanan Sui OffRL 35 10 0 09 Nov 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
Provably Efficient Model-Free Algorithm for MDPs with Peak Constraints Qinbo Bai Vaneet Aggarwal Ather Gattami 22 7 0 11 Mar 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
Safe Exploration in Markov Decision Processes T. Moldovan Pieter Abbeel 78 308 0 22 May 2012