SafeRL-Kit: Evaluating Efficient Reinforcement Learning Methods for Safe
Autonomous Driving

SafeRL-Kit: Evaluating Efficient Reinforcement Learning Methods for Safe Autonomous Driving

17 June 2022

Li Shen

Papers citing "SafeRL-Kit: Evaluating Efficient Reinforcement Learning Methods for Safe Autonomous Driving"

7 / 7 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
Human-AI Collaboration in Real-World Complex Environment with Reinforcement Learning Md Saiful Islam Srijita Das S. Gottipati William Duguay Clodéric Mars Jalal Arabneydi Antoine Fagette Matthew J. Guzdial Matthew E. Taylor 38 1 0 23 Dec 2023
Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization Quanyi Li Zhenghao Peng Bolei Zhou 77 54 0 17 Feb 2022
Safe Autonomous Racing via Approximate Reachability on Ego-vision Bingqing Chen Jonathan M Francis Jean Oh Eric Nyberg Sylvia L. Herbert 56 14 0 14 Oct 2021
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 1,631 0 02 Feb 2020