GUARD: A Safe Reinforcement Learning Benchmark

GUARD: A Safe Reinforcement Learning Benchmark

23 May 2023

Rui Chen

Ruixuan Liu

Changliu Liu

Papers citing "GUARD: A Safe Reinforcement Learning Benchmark"

8 / 8 papers shown

Title
Barrier Function Overrides For Non-Convex Fixed Wing Flight Control and Self-Driving Cars Eric Squires Phillip Odom Z. Kira 31 0 0 08 May 2025
Probabilistic Constrained Reinforcement Learning with Formal Interpretability Yanran Wang Qiuchen Qian David E. Boyle 16 4 0 13 Jul 2023
Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models Weiye Zhao Tairan He Changliu Liu 38 21 0 03 Oct 2022
Safety Index Synthesis via Sum-of-Squares Programming Weiye Zhao Tairan He Tianhao Wei Simin Liu Changliu Liu 30 28 0 19 Sep 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
safe-control-gym: a Unified Benchmark Suite for Safe Learning-based Control and Reinforcement Learning in Robotics Zhaocong Yuan Adam W. Hall Siqi Zhou Lukas Brunke Melissa Greeff Jacopo Panerati Angela P. Schoellig OffRL 102 53 0 13 Sep 2021
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
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 165 1,632 0 02 Feb 2020