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

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"

14 / 14 papers shown

Title
Learning Neural Control Barrier Functions from Offline Data with Conservatism Ihab Tabbara Hussein Sibai OffRL 18 0 0 01 May 2025
Stability Enhancement in Reinforcement Learning via Adaptive Control Lyapunov Function Donghe Chen Han Wang Lin Cheng Shengping Gong 16 26 0 18 Jan 2025
Finite-Time Complexity of Online Primal-Dual Natural Actor-Critic Algorithm for Constrained Markov Decision Processes Sihan Zeng Thinh T. Doan J. Romberg 57 15 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 62 38 0 06 Oct 2021
Unsolved Problems in ML Safety Dan Hendrycks Nicholas Carlini John Schulman Jacob Steinhardt 140 233 0 28 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 72 48 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 43 33 0 13 Sep 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 48 19 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 41 2 0 13 Jul 2021
Safe Learning and Optimization Techniques: Towards a Survey of the State of the Art Youngmin Kim Richard Allmendinger Manuel López-Ibánez OffRL 55 24 0 23 Jan 2021
AI safety via debate G. Irving Paul Christiano Dario Amodei 183 148 0 02 May 2018
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills Xue Bin Peng Pieter Abbeel Sergey Levine M. van de Panne AI4CE 123 441 0 08 Apr 2018
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach Yinlam Chow Aviv Tamar Shie Mannor Marco Pavone 44 287 0 06 Jun 2015
Safe Exploration in Markov Decision Processes T. Moldovan Pieter Abbeel 65 296 0 22 May 2012