Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization

3 March 2020

Lu Wen

Jingliang Duan

Shengbo Eben Li

Shaobing Xu

H. Peng

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Papers citing "Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization"

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Title
Skill-based Safe Reinforcement Learning with Risk Planning Hanping Zhang Yuhong Guo OffRL OnRL 45 0 0 02 May 2025
Ensuring Safety in an Uncertain Environment: Constrained MDPs via Stochastic Thresholds Qian Zuo Fengxiang He 31 0 0 07 Apr 2025
How to Adapt Control Barrier Functions? A Learning-Based Approach with Applications to a VTOL Quadplane Taekyung Kim Randal W. Beard Dimitra Panagou 34 0 0 03 Apr 2025
A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective Zhuoren Li Guizhe Jin Ran Yu Z. Chen Nan I. Li ... Lu Xiong Bo Leng Jia Hu Ilya Kolmanovsky Dimitar Filev 59 0 0 31 Mar 2025
Pre-Trained Vision Models as Perception Backbones for Safety Filters in Autonomous Driving Yuxuan Yang Hussein Sibai 52 2 0 29 Oct 2024
Optimal Strong Regret and Violation in Constrained MDPs via Policy Optimization Francesco Emanuele Stradi Matteo Castiglioni A. Marchesi Nicola Gatti 18 1 0 03 Oct 2024
RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer Crashes Kyle Stachowicz Sergey Levine 22 6 0 07 May 2024
Learning Adversarial MDPs with Stochastic Hard Constraints Francesco Emanuele Stradi Matteo Castiglioni A. Marchesi Nicola Gatti 31 4 0 06 Mar 2024
How to ensure a safe control strategy? Towards a SRL for urban transit autonomous operation Zicong Zhao 15 1 0 24 Nov 2023
Provably Efficient CVaR RL in Low-rank MDPs Yulai Zhao Wenhao Zhan Xiaoyan Hu Ho-fung Leung Farzan Farnia Wen Sun Jason D. Lee 29 4 0 20 Nov 2023
CAT: Closed-loop Adversarial Training for Safe End-to-End Driving Linrui Zhang Zhenghao Peng Quanyi Li Bolei Zhou AAML 42 26 0 19 Oct 2023
Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback Yu Chen Yihan Du Pihe Hu Si-Yi Wang De-hui Wu Longbo Huang 24 6 0 06 Jul 2023
Safe and Efficient Manoeuvring for Emergency Vehicles in Autonomous Traffic using Multi-Agent Proximal Policy Optimisation L. Parada Eduardo Candela Luís Marques Panagiotis Angeloudis 14 11 0 31 Oct 2022
Neurosymbolic Motion and Task Planning for Linear Temporal Logic Tasks Xiaowu Sun Yasser Shoukry 48 11 0 11 Oct 2022
Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of Connected Autonomous Vehicles in Challenging Scenarios Zhili Zhang Songyang Han Jiangwei Wang Fei Miao 38 19 0 05 Oct 2022
Bypassing the Simulation-to-reality Gap: Online Reinforcement Learning using a Supervisor B. D. Evans Johannes Betz Hongrui Zheng H. Engelbrecht Rahul Mangharam H. W. Jordaan OffRL 25 6 0 22 Sep 2022
Safe Reinforcement Learning with Contrastive Risk Prediction Hanping Zhang Yuhong Guo OffRL 29 2 0 10 Sep 2022
SafeRL-Kit: Evaluating Efficient Reinforcement Learning Methods for Safe Autonomous Driving Linrui Zhang Qin Zhang Li Shen Bo Yuan Xueqian Wang OffRL 36 9 0 17 Jun 2022
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm Qinbo Bai Amrit Singh Bedi Vaneet Aggarwal 26 20 0 12 Jun 2022
Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path Yihan Du Siwei Wang Longbo Huang OOD 24 13 0 06 Jun 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 117 241 0 20 May 2022
Improve Generalization of Driving Policy at Signalized Intersections with Adversarial Learning Yangang Ren Guojian Zhan Liye Tang Shengbo Eben Li Jianhua Jiang Jingliang Duan AAML 15 10 0 09 Apr 2022
Multi-task Safe Reinforcement Learning for Navigating Intersections in Dense Traffic Yuqi Liu Qichao Zhang Dongbin Zhao 28 14 0 19 Feb 2022
A Safety-Critical Decision Making and Control Framework Combining Machine Learning and Rule-based Algorithms Andrei Aksjonov Ville Kyrki 27 3 0 30 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 107 56 0 13 Sep 2021
Improved Robustness and Safety for Pre-Adaptation of Meta Reinforcement Learning with Prior Regularization Lu Wen Songan Zhang H. E. Tseng Baljeet Singh Dimitar Filev H. Peng OffRL OnRL 27 1 0 19 Aug 2021
Quick Learner Automated Vehicle Adapting its Roadmanship to Varying Traffic Cultures with Meta Reinforcement Learning Songan Zhang Lu Wen H. Peng H. E. Tseng 27 10 0 18 Apr 2021
Provably Correct Training of Neural Network Controllers Using Reachability Analysis Xiaowu Sun Yasser Shoukry 20 7 0 22 Feb 2021
ShieldNN: A Provably Safe NN Filter for Unsafe NN Controllers James Ferlez Mahmoud M. Elnaggar Yasser Shoukry C. Fleming AAML 62 33 0 16 Jun 2020
Adaptive dynamic programming for nonaffine nonlinear optimal control problem with state constraints Jingliang Duan Zhengyu Liu Shengbo Eben Li Qi Sun Zhenzhong Jia B. Cheng 15 64 0 26 Nov 2019