Iterative Reachability Estimation for Safe Reinforcement Learning

Iterative Reachability Estimation for Safe Reinforcement Learning

24 September 2023

Sylvia L. Herbert

Papers citing "Iterative Reachability Estimation for Safe Reinforcement Learning"

18 / 18 papers shown

Title
Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures Junwon Seo Kensuke Nakamura Andrea V. Bajcsy 56 0 0 01 May 2025
Solving Multi-Agent Safe Optimal Control with Distributed Epigraph Form MARL Songyuan Zhang Oswin So Mitchell Black Zachary Serlin Chuchu Fan 31 0 0 21 Apr 2025
Learning Vision-Based Neural Network Controllers with Semi-Probabilistic Safety Guarantees Xinhang Ma Junlin Wu Hussein Sibai Y. Kantaros Yevgeniy Vorobeychik 33 0 0 28 Feb 2025
Reward-Safety Balance in Offline Safe RL via Diffusion Regularization Junyu Guo Zhi Zheng Donghao Ying Ming Jin Shangding Gu C. Spanos Javad Lavaei OffRL 56 0 0 18 Feb 2025
Hamilton-Jacobi Reachability in Reinforcement Learning: A Survey Milan Ganai Sicun Gao Sylvia L. Herbert 40 6 0 12 Jul 2024
Safe and Reliable Training of Learning-Based Aerospace Controllers Udayan Mandal Guy Amir Haoze Wu Ieva Daukantas Fletcher Lee Newell ... Kerianne Hobbs Milan Ganai Tobey Shim Guy Katz Clark Barrett 42 2 0 09 Jul 2024
FOSP: Fine-tuning Offline Safe Policy through World Models Chenyang Cao Yucheng Xin Silang Wu Longxiang He Zichen Yan Junbo Tan Xueqian Wang OffRL 58 0 0 06 Jul 2024
Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation Shangding Gu Laixi Shi Yuhao Ding Alois Knoll C. Spanos Adam Wierman Ming Jin OffRL 35 2 0 31 May 2024
Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov Barrier Certificates Udayan Mandal Guy Amir Haoze Wu Ieva Daukantas Fletcher Lee Newell ... Michael Durling Milan Ganai Tobey Shim Guy Katz Clark W. Barrett 47 7 0 22 May 2024
Extremum-Seeking Action Selection for Accelerating Policy Optimization Ya-Chien Chang Sicun Gao 32 0 0 02 Apr 2024
Safe Reinforcement Learning via Hierarchical Adaptive Chance-Constraint Safeguards Zhaorun Chen Zhuokai Zhao Tairan He Binhao Chen Xuhao Zhao Liang Gong Chengliang Liu 24 3 0 05 Oct 2023
Hamilton-Jacobi Reachability Analysis for Hybrid Systems with Controlled and Forced Transitions Javier Borquez Shuang Peng Lydia Y. Chen Quan Nguyen Somil Bansal 25 2 0 19 Sep 2023
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 72 47 0 16 May 2023
Learning Stabilization Control from Observations by Learning Lyapunov-like Proxy Models Milan Ganai Chiaki Hirayama Ya-Chien Chang Sicun Gao 32 6 0 03 Mar 2023
Policy Optimization with Advantage Regularization for Long-Term Fairness in Decision Systems Eric Yang Yu Zhizhen Qin Min Kyung Lee Sicun Gao OffRL 37 15 0 22 Oct 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 115 237 0 20 May 2022
Reachability Constrained Reinforcement Learning Dongjie Yu Haitong Ma Sheng Li Jianyu Chen 63 54 0 16 May 2022
Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety Haitong Ma Yang Guan Shegnbo Eben Li Xiangteng Zhang Sifa Zheng Jianyu Chen 40 37 0 22 May 2021