Iterative Reachability Estimation for Safe Reinforcement Learning

Iterative Reachability Estimation for Safe Reinforcement Learning

Neural Information Processing Systems (NeurIPS), 2023

24 September 2023

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Papers citing "Iterative Reachability Estimation for Safe Reinforcement Learning"

17 / 17 papers shown

Title
Provably Optimal Reinforcement Learning under Safety Filtering Donggeon David Oh D. Nguyen Haimin Hu J. F. Fisac OffRL 120 0 0 20 Oct 2025
Constraint-Aware Reinforcement Learning via Adaptive Action Scaling Murad Dawood Usama Ahmed Siddiquie Shahram Khorshidi Maren Bennewitz 145 0 0 13 Oct 2025
EigenSafe: A Spectral Framework for Learning-Based Stochastic Safety Filtering Inkyu Jang Jonghae Park Chams E. Mballo Sihyun Cho Claire J. Tomlin H. J. Kim 100 0 0 22 Sep 2025
One Subgoal at a Time: Zero-Shot Generalization to Arbitrary Linear Temporal Logic Requirements in Multi-Task Reinforcement Learning Zijian Guo İlker Işık Hijaz Ahmad Wenchao Li OffRL AI4CE 415 2 0 03 Aug 2025
Real-Time Out-of-Distribution Failure Prevention via Multi-Modal Reasoning Milan Ganai Rohan Sinha Christopher Agia Daniel Morton Marco Pavone Marco Pavone OffRL LRM AI4CE 424 4 0 15 May 2025
Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures Junwon Seo Kensuke Nakamura Andrea V. Bajcsy 390 8 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 220 1 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 320 0 0 28 Feb 2025
Don't Trade Off Safety: Diffusion Regularization for Constrained Offline RL Junyu Guo Zhi Zheng Donghao Ying Ming Jin Shangding Gu C. Spanos Javad Lavaei OffRL 566 0 0 18 Feb 2025
Hamilton-Jacobi Reachability in Reinforcement Learning: A Survey Milan Ganai Sicun Gao Sylvia Herbert 349 15 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 217 7 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 357 3 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 254 7 0 31 May 2024
Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov Barrier CertificatesFormal Methods in Computer-Aided Design (FMCAD), 2024 Udayan Mandal Guy Amir Haoze Wu Ieva Daukantas Fletcher Lee Newell ... Michael Durling Milan Ganai Tobey Shim Guy Katz Clark W. Barrett 170 13 0 22 May 2024
Extremum-Seeking Action Selection for Accelerating Policy OptimizationIEEE International Conference on Robotics and Automation (ICRA), 2024 Ya-Chien Chang Sicun Gao 271 0 0 02 Apr 2024
Safe Reinforcement Learning via Hierarchical Adaptive Chance-Constraint SafeguardsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023 Zhaorun Chen Zhuokai Zhao Tairan He Binhao Chen Xuhao Zhao Liang Gong Chengliang Liu 221 4 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 180 3 0 19 Sep 2023