Learning to be Safe: Deep RL with a Safety Critic

27 October 2020

Jie Tan

Papers citing "Learning to be Safe: Deep RL with a Safety Critic"

42 / 42 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
A Domain-Agnostic Scalable AI Safety Ensuring Framework Beomjun Kim Kangyeon Kim Sunwoo Kim Heejin Ahn 57 0 0 29 Apr 2025
Cooptimizing Safety and Performance with a Control-Constrained Formulation Hao Wang Adityaya Dhande Somil Bansal 28 1 0 10 Sep 2024
Safe Reinforcement Learning in Black-Box Environments via Adaptive Shielding Daniel Bethell Simos Gerasimou R. Calinescu Calum Imrie OffRL OnRL 39 0 0 28 May 2024
Counterexample-Guided Repair of Reinforcement Learning Systems Using Safety Critics David Boetius Stefan Leue 28 0 0 24 May 2024
Preparing for Black Swans: The Antifragility Imperative for Machine Learning Ming Jin 38 2 0 18 May 2024
RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer Crashes Kyle Stachowicz Sergey Levine 17 6 0 07 May 2024
Myopically Verifiable Probabilistic Certificates for Safe Control and Learning Zhuoyuan Wang Haoming Jing Christian Kurniawan Albert Chern Yorie Nakahira 39 1 0 23 Apr 2024
TRC: Trust Region Conditional Value at Risk for Safe Reinforcement Learning Dohyeong Kim Songhwai Oh 19 19 0 01 Dec 2023
Learning to Recover for Safe Reinforcement Learning Haoyu Wang Xin Yuan Qinqing Ren 34 0 0 21 Sep 2023
Reinforcement Learning by Guided Safe Exploration Qisong Yang T. D. Simão N. Jansen Simon Tindemans M. Spaan OffRL OnRL 34 5 0 26 Jul 2023
C-MCTS: Safe Planning with Monte Carlo Tree Search Dinesh Parthasarathy G. Kontes Axel Plinge Christopher Mutschler 40 3 0 25 May 2023
Reinforcement Learning for Safe Robot Control using Control Lyapunov Barrier Functions Desong Du Shao-Fu Han Naiming Qi Haitham Bou-Ammar Jun Wang Wei Pan 34 15 0 16 May 2023
When Learning Is Out of Reach, Reset: Generalization in Autonomous Visuomotor Reinforcement Learning Zichen Zhang Luca Weihs OffRL 24 5 0 30 Mar 2023
A Multiplicative Value Function for Safe and Efficient Reinforcement Learning Nick Bührer Zhejun Zhang Alexander Liniger Feng Yu Luc Van Gool 24 1 0 07 Mar 2023
Efficient Exploration Using Extra Safety Budget in Constrained Policy Optimization Haotian Xu Shengjie Wang Zhaolei Wang Yunzhe Zhang Qing Zhuo Yang Gao Tao Zhang 18 0 0 28 Feb 2023
Failure-aware Policy Learning for Self-assessable Robotics Tasks Kechun Xu Runjian Chen Shuqing Zhao Zizhang Li Hongxiang Yu Ci Chen Yue Wang R. Xiong 20 1 0 25 Feb 2023
Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees James Queeney E. C. Ozcan I. Paschalidis Christos G. Cassandras OOD OffRL 31 5 0 31 Jan 2023
Safe Reinforcement Learning for an Energy-Efficient Driver Assistance System Habtamu Hailemichael B. Ayalew Lindsey Kerbel Andrej Ivanco K. Loiselle 19 4 0 03 Jan 2023
Dexterous Manipulation from Images: Autonomous Real-World RL via Substep Guidance Kelvin Xu Zheyuan Hu Ria Doshi Aaron Rovinsky Vikash Kumar Abhishek Gupta Sergey Levine 32 19 0 19 Dec 2022
Evaluating Model-free Reinforcement Learning toward Safety-critical Tasks Linrui Zhang Q. Zhang Li Shen Bo Yuan Xueqian Wang Dacheng Tao OffRL 40 26 0 12 Dec 2022
Prediction-aware and Reinforcement Learning based Altruistic Cooperative Driving Rodolfo Valiente Mahdi Razzaghpour Behrad Toghi Ghayoor Shah Y. P. Fallah 28 14 0 19 Nov 2022
Characterising the Robustness of Reinforcement Learning for Continuous Control using Disturbance Injection Catherine R. Glossop Jacopo Panerati A. Krishnan Zhaocong Yuan Angela P. Schoellig 22 6 0 27 Oct 2022
VIMA: General Robot Manipulation with Multimodal Prompts Yunfan Jiang Agrim Gupta Zichen Zhang Guanzhi Wang Yongqiang Dou Yanjun Chen Li Fei-Fei Anima Anandkumar Yuke Zhu Linxi Fan LM&Ro 28 335 0 06 Oct 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Bo-wen Li Ding Zhao 74 45 0 16 Sep 2022
Learning to Rearrange with Physics-Inspired Risk Awareness Meng Song Yuhan Liu Zhengqin Li Manmohan Chandraker 26 0 0 26 Jun 2022
On the Robustness of Safe Reinforcement Learning under Observational Perturbations Zuxin Liu Zijian Guo Zhepeng Cen Huan Zhang Jie Tan Bo-wen Li Ding Zhao OOD OffRL 42 35 0 29 May 2022
Safe Reinforcement Learning for Legged Locomotion Tsung-Yen Yang Tingnan Zhang Linda Luu Sehoon Ha Jie Tan Wenhao Yu 21 40 0 05 Mar 2022
SAFER: Data-Efficient and Safe Reinforcement Learning via Skill Acquisition Dylan Slack Yinlam Chow Bo Dai Nevan Wichers OffRL 24 7 0 10 Feb 2022
GoSafeOpt: Scalable Safe Exploration for Global Optimization of Dynamical Systems Bhavya Sukhija M. Turchetta David Lindner Andreas Krause Sebastian Trimpe Dominik Baumann 31 17 0 24 Jan 2022
Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees Kai Hsu Allen Z. Ren D. Nguyen Anirudha Majumdar J. F. Fisac OffRL 26 41 0 20 Jan 2022
Safe Deep RL in 3D Environments using Human Feedback Matthew Rahtz Vikrant Varma Ramana Kumar Zachary Kenton Shane Legg Jan Leike 32 4 0 20 Jan 2022
Physical Derivatives: Computing policy gradients by physical forward-propagation Arash Mehrjou Ashkan Soleymani Stefan Bauer Bernhard Schölkopf 38 0 0 15 Jan 2022
Model-Based Safe Reinforcement Learning with Time-Varying State and Control Constraints: An Application to Intelligent Vehicles Xinglong Zhang Yaoqian Peng Biao Luo Wei Pan Xin Xu Haibin Xie 27 11 0 18 Dec 2021
Learning to Be Cautious Montaser Mohammedalamen Dustin Morrill Alexander Sieusahai Yash Satsangi Michael Bowling 18 3 0 29 Oct 2021
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
Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning Hao-Lun Hsu Qiuhua Huang Sehoon Ha OffRL 42 11 0 29 Sep 2021
Safe Reinforcement Learning Using Advantage-Based Intervention Nolan Wagener Byron Boots Ching-An Cheng 29 52 0 16 Jun 2021
Maximum Entropy RL (Provably) Solves Some Robust RL Problems Benjamin Eysenbach Sergey Levine OOD 38 175 0 10 Mar 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned Julian Ibarz Jie Tan Chelsea Finn Mrinal Kalakrishnan P. Pastor Sergey Levine OffRL 16 516 0 04 Feb 2021
Deep Dynamics Models for Learning Dexterous Manipulation Anusha Nagabandi K. Konolige Sergey Levine Vikash Kumar 157 408 0 25 Sep 2019
Safe Exploration in Markov Decision Processes T. Moldovan Pieter Abbeel 78 308 0 22 May 2012