A Survey of Constraint Formulations in Safe Reinforcement Learning

3 February 2024

Papers citing "A Survey of Constraint Formulations in Safe Reinforcement Learning"

9 / 9 papers shown

Title
Efficient Policy Evaluation with Safety Constraint for Reinforcement Learning Claire Chen Shuze Liu Shangtong Zhang OffRL 46 1 0 08 Oct 2024
OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research Jiaming Ji Jiayi Zhou Borong Zhang Juntao Dai Xuehai Pan Ruiyang Sun Weidong Huang Yiran Geng Mickel Liu Yaodong Yang OffRL 62 47 0 16 May 2023
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 111 231 0 20 May 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 303 11,730 0 04 Mar 2022
Towards Safe Reinforcement Learning with a Safety Editor Policy Haonan Yu Wei-ping Xu Haichao Zhang OffRL 56 31 0 28 Jan 2022
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach Qinbo Bai Amrit Singh Bedi Mridul Agarwal Alec Koppel Vaneet Aggarwal 99 56 0 13 Sep 2021
Safe Learning and Optimization Techniques: Towards a Survey of the State of the Art Youngmin Kim Richard Allmendinger Manuel López-Ibánez OffRL 96 27 0 23 Jan 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 329 1,944 0 04 May 2020
Safe Exploration in Markov Decision Processes T. Moldovan Pieter Abbeel 70 308 0 22 May 2012