A Review of Safe Reinforcement Learning: Methods, Theory and Applications

20 May 2022

Guang Chen

Jun Wang

Papers citing "A Review of Safe Reinforcement Learning: Methods, Theory and Applications"

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Control of Renewable Energy Communities using AI and Real-World Data Tiago Fonseca Clarisse Sousa Ricardo Venâncio Pedro Pires Ricardo Severino Paulo Rodrigues Pedro Paiva Luis Lino Ferreira 27 0 0 22 May 2025
HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Zhiwen Chen Bo Leng Zhuoren Li Hanming Deng Guizhe Jin Ran Yu Huanxi Wen 103 0 0 21 May 2025
Feasibility-Aware Pessimistic Estimation: Toward Long-Horizon Safety in Offline RL Zhikun Tao Gang Xiong He Fang Zhen Shen Yunjun Han Qing-Shan Jia OffRL 86 0 0 13 May 2025
From Text to Trajectory: Exploring Complex Constraint Representation and Decomposition in Safe Reinforcement Learning Pusen Dong Tianchen Zhu Yue Qiu Haoyi Zhou Jianxin Li 114 1 0 24 Feb 2025
On the Design of Safe Continual RL Methods for Control of Nonlinear Systems Austin Coursey Marcos Quiñones-Grueiro Gautam Biswas 68 0 0 21 Feb 2025
Polynomial-Time Approximability of Constrained Reinforcement Learning Jeremy McMahan 314 0 0 11 Feb 2025
Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning Zijian Guo Weichao Zhou Wenchao Li OffRL 124 2 0 28 Jan 2025
Provably-Safe Neural Network Training Using Hybrid Zonotope Reachability Analysis Long Kiu Chung Shreyas Kousik 385 0 0 22 Jan 2025
Efficient Policy Evaluation with Safety Constraint for Reinforcement Learning Claire Chen Shuze Liu Shangtong Zhang OffRL 268 1 0 08 Oct 2024
Provably Efficient Exploration in Inverse Constrained Reinforcement Learning Bo Yue Jian Li Guiliang Liu 66 3 0 24 Sep 2024
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning Subhojyoti Mukherjee Josiah P. Hanna Qiaomin Xie Robert Nowak 129 2 0 07 Jun 2024
GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model Zhehua Zhou Xuan Xie Jiayang Song Zhan Shu Lei Ma 64 1 0 06 Jun 2024
Policy-Based Reinforcement Learning for Assortative Matching in Human Behavior Modeling Ou Deng Qun Jin 32 1 0 08 Nov 2022
RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow Zhengbang Zhu Shenyu Zhang Yuzheng Zhuang Yuecheng Liu Minghuan Liu ... Bin Wang Siqi Cheng Xinyu Wang Jianye Hao Yong Yu 24 8 0 07 Nov 2022
Safe Reinforcement Learning by Imagining the Near Future G. Thomas Yuping Luo Tengyu Ma OffRL 11 83 0 15 Feb 2022
CUP: A Conservative Update Policy Algorithm for Safe Reinforcement Learning Long Yang Jiaming Ji Juntao Dai Yu Zhang Pengfei Li Gang Pan 28 17 0 15 Feb 2022
MuZero with Self-competition for Rate Control in VP9 Video Compression Amol Mandhane A. Zhernov Maribeth Rauh Chenjie Gu Miaosen Wang ... Jackson Broshear Julian Schrittwieser Thomas Hubert Oriol Vinyals Timothy A. Mann 43 44 0 14 Feb 2022
SAFER: Data-Efficient and Safe Reinforcement Learning via Skill Acquisition Dylan Slack Yinlam Chow Bo Dai Nevan Wichers OffRL 75 7 0 10 Feb 2022
Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions Shahin Atakishiyev Mohammad Salameh Hengshuai Yao Randy Goebel 37 133 0 21 Dec 2021
Towards Safe, Explainable, and Regulated Autonomous Driving Shahin Atakishiyev Mohammad Salameh Hengshuai Yao Randy Goebel 68 11 0 20 Nov 2021
Finite-Time Complexity of Online Primal-Dual Natural Actor-Critic Algorithm for Constrained Markov Decision Processes Sihan Zeng Thinh T. Doan Justin Romberg 121 17 0 21 Oct 2021
Multi-Agent Constrained Policy Optimisation Shangding Gu J. Kuba Munning Wen Ruiqing Chen Ziyan Wang Zheng Tian Jun Wang Alois Knoll Yaodong Yang 110 49 0 06 Oct 2021
Unsolved Problems in ML Safety Dan Hendrycks Nicholas Carlini John Schulman Jacob Steinhardt 216 282 0 28 Sep 2021
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning J. Kuba Ruiqing Chen Munning Wen Ying Wen Fanglei Sun Jun Wang Yaodong Yang 83 234 0 23 Sep 2021
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach Qinbo Bai Amrit Singh Bedi Mridul Agarwal Alec Koppel Vaneet Aggarwal 117 57 0 13 Sep 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 122 54 0 13 Sep 2021
Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning Viktor Makoviychuk Lukasz Wawrzyniak Yunrong Guo Michelle Lu Kier Storey ... David Hoeller Nikita Rudin Arthur Allshire Ankur Handa Gavriel State 110 1,049 0 24 Aug 2021
Settling the Variance of Multi-Agent Policy Gradients J. Kuba Muning Wen Yaodong Yang Linghui Meng Shangding Gu Haifeng Zhang D. Mguni Jun Wang 34 61 0 19 Aug 2021
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning Lukas Brunke Melissa Greeff Adam W. Hall Zhaocong Yuan Siqi Zhou Jacopo Panerati Angela P. Schoellig OffRL 43 610 0 13 Aug 2021
Safe Deep Reinforcement Learning for Multi-Agent Systems with Continuous Action Spaces Ziyad Sheebaelhamd Konstantinos Zisis Athina Nisioti Dimitris Gkouletsos Dario Pavllo Jonas Köhler AI4CE 27 16 0 09 Aug 2021
Lyapunov-based uncertainty-aware safe reinforcement learning Ashkan B. Jeddi Nariman L. Dehghani A. Shafieezadeh 31 7 0 29 Jul 2021
Minimizing Safety Interference for Safe and Comfortable Automated Driving with Distributional Reinforcement Learning Danial Kamran Tizian Engelgeh M. Busch Johannes Fischer Christoph Stiller OffRL 263 24 0 15 Jul 2021
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks Sungryull Sohn Sungtae Lee Jongwook Choi H. V. Seijen Mehdi Fatemi Honglak Lee 241 3 0 13 Jul 2021
A Simple Reward-free Approach to Constrained Reinforcement Learning Sobhan Miryoosefi Chi Jin 55 30 0 12 Jul 2021
Density Constrained Reinforcement Learning Zengyi Qin Yuxiao Chen Chuchu Fan 25 35 0 24 Jun 2021
Safe Reinforcement Learning Using Advantage-Based Intervention Nolan Wagener Byron Boots Ching-An Cheng 67 52 0 16 Jun 2021
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs Tao-Wen Liu Ruida Zhou D. Kalathil P. R. Kumar Chao Tian 54 80 0 04 Jun 2021
A Provably-Efficient Model-Free Algorithm for Constrained Markov Decision Processes Honghao Wei Xin Liu Lei Ying 47 21 0 03 Jun 2021
Probabilistic Robust Linear Quadratic Regulators with Gaussian Processes Alexander von Rohr Matthias Neumann-Brosig Sebastian Trimpe 34 8 0 17 May 2021
Safe Continuous Control with Constrained Model-Based Policy Optimization Moritz A. Zanger Karam Daaboul J. Marius Zöllner 31 19 0 14 Apr 2021
State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning with Rewards Miguel Calvo-Fullana Santiago Paternain Luiz F. O. Chamon Alejandro Ribeiro OffRL 26 33 0 23 Feb 2021
Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems Yaodong Yang Jun Luo Ying Wen Oliver Slumbers D. Graves H. Ammar Jun Wang Matthew E. Taylor 21 38 0 15 Feb 2021
Safe Multi-Agent Reinforcement Learning via Shielding Ingy Elsayed-Aly Suda Bharadwaj Chris Amato Rüdiger Ehlers Ufuk Topcu Lu Feng 25 94 0 27 Jan 2021
Safe Learning and Optimization Techniques: Towards a Survey of the State of the Art Youngmin Kim Richard Allmendinger Manuel López-Ibánez OffRL 347 27 0 23 Jan 2021
Sample Complexity of Policy Gradient Finding Second-Order Stationary Points Long Yang Qian Zheng Gang Pan 46 21 0 02 Dec 2020
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning Avi Singh Huihan Liu G. Zhou Albert Yu Nicholas Rhinehart Sergey Levine OffRL OnRL 43 140 0 19 Nov 2020
Reinforcement Learning Control of Constrained Dynamic Systems with Uniformly Ultimate Boundedness Stability Guarantee Minghao Han Yuan Tian Lixian Zhang Jun Wang Wei Pan 18 47 0 13 Nov 2020
CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee Tengyu Xu Yingbin Liang Guanghui Lan 54 123 0 11 Nov 2020
Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships Xiaobai Ma Jiachen Li Mykel J. Kochenderfer David Isele K. Fujimura 56 61 0 09 Nov 2020
Conservative Safety Critics for Exploration Homanga Bharadhwaj Aviral Kumar Nicholas Rhinehart Sergey Levine Florian Shkurti Animesh Garg OffRL 65 138 0 27 Oct 2020