Safe Reinforcement Learning Using Black-Box Reachability Analysis

15 April 2022

Papers citing "Safe Reinforcement Learning Using Black-Box Reachability Analysis"

25 / 25 papers shown

Title
Safe LLM-Controlled Robots with Formal Guarantees via Reachability Analysis Ahmad Hafez Alireza Naderi Akhormeh Amr Hegazy Amr Alanwar 46 0 0 05 Mar 2025
Learning-Enhanced Safeguard Control for High-Relative-Degree Systems: Robust Optimization under Disturbances and Faults Xinyang Wang Hongwei Zhang Shimin Wang Wei Xiao M. Guay 53 0 0 28 Jan 2025
AI-Powered Urban Transportation Digital Twin: Methods and Applications Xuan Di Yongjie Fu Mehmet K.Turkcan Mahshid Ghasemi Zhaobin Mo Chengbo Zang Abhishek Adhikari Z. Kostić Gil Zussman AI4CE 36 0 0 30 Dec 2024
RAIL: Reachability-Aided Imitation Learning for Safe Policy Execution Wonsuhk Jung Dennis Anthony Utkarsh Aashu Mishra Nadun Ranawaka Arachchige Matthew Bronars Danfei Xu Shreyas Kousik 31 0 0 28 Sep 2024
Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning Piotr Kicki Davide Tateo Puze Liu Jonas Guenster Jan Peters Krzysztof Walas 34 2 0 26 Aug 2024
SoNIC: Safe Social Navigation with Adaptive Conformal Inference and Constrained Reinforcement Learning Jianpeng Yao Xiaopan Zhang Yu Xia Zejin Wang A. Roy-Chowdhury Jiachen Li 51 2 0 24 Jul 2024
Socially Acceptable Bipedal Robot Navigation via Social Zonotope Network Model Predictive Control Abdulaziz Shamsah Krishanu Agarwal Nigam Katta Abirath Raju Shreyas Kousik Ye Zhao 37 2 0 24 Jun 2024
ZAPP! Zonotope Agreement of Prediction and Planning for Continuous-Time Collision Avoidance with Discrete-Time Dynamics Luca Paparusso Shreyas Kousik Edward Schmerling Francesco Braghin Marco Pavone 40 2 0 03 Jun 2024
Dynamic Model Predictive Shielding for Provably Safe Reinforcement Learning Arko Banerjee Kia Rahmani Joydeep Biswas Işıl Dillig 41 2 0 22 May 2024
Do No Harm: A Counterfactual Approach to Safe Reinforcement Learning Sean Vaskov Wilko Schwarting Chris Baker 38 1 0 19 May 2024
Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications Puze Liu Haitham Bou-Ammar Jan Peters Davide Tateo 40 7 0 13 Apr 2024
Real-time Model Predictive Control with Zonotope-Based Neural Networks for Bipedal Social Navigation Abdulaziz Shamsah Krishanu Agarwal Shreyas Kousik Ye Zhao 32 2 0 25 Mar 2024
Goal-Reaching Trajectory Design Near Danger with Piecewise Affine Reach-avoid Computation Long Kiu Chung Wonsuhk Jung Chuizheng Kong Shreyas Kousik 36 3 0 23 Feb 2024
Safe Reinforcement Learning via Hierarchical Adaptive Chance-Constraint Safeguards Zhaorun Chen Zhuokai Zhao Tairan He Binhao Chen Xuhao Zhao Liang Gong Chengliang Liu 19 3 0 05 Oct 2023
Iterative Reachability Estimation for Safe Reinforcement Learning Milan Ganai Zheng Gong Chenning Yu Sylvia L. Herbert Sicun Gao 30 17 0 24 Sep 2023
Adaptive Policy Learning to Additional Tasks Wenjian Hao Zehui Lu Zihao Liang Tianyu Zhou Shaoshuai Mou 19 0 0 24 May 2023
Policy Learning based on Deep Koopman Representation Wenjian Hao Paulo Heredia Bowen Huang Zehui Lu Zihao Liang Shaoshuai Mou 34 1 0 24 May 2023
Safe Deep RL for Intraoperative Planning of Pedicle Screw Placement Yu Ao H. Esfandiari F. Carrillo Yarden As Mazda Farshad Benjamin Grewe Andreas Krause Philipp Fuernstahl 36 1 0 09 May 2023
Autonomous Drone Racing: A Survey D. Hanover Antonio Loquercio L. Bauersfeld Angel Romero Robert Pěnička Yunlong Song Giovanni Cioffi Elia Kaufmann Davide Scaramuzza 56 58 0 04 Jan 2023
Safe Reinforcement Learning using Data-Driven Predictive Control Mahmoud Selim Amr Alanwar M. El-Kharashi Hazem Abbas Karl H. Johansson OffRL 17 3 0 20 Nov 2022
Provably Safe Reinforcement Learning via Action Projection using Reachability Analysis and Polynomial Zonotopes Niklas Kochdumper Hanna Krasowski Xiao Wang Stanley Bak Matthias Althoff 27 28 0 19 Oct 2022
Provably Safe Reinforcement Learning: Conceptual Analysis, Survey, and Benchmarking Hanna Krasowski Jakob Thumm Marlon Müller Lukas Schäfer Xiao Wang Matthias Althoff 80 19 0 13 May 2022
Constrained Feedforward Neural Network Training via Reachability Analysis Long Kiu Chung Adam Dai Derek Knowles Shreyas Kousik Grace Gao 11 8 0 16 Jul 2021
Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning Yu Fan Chen Miao Liu Michael Everett Jonathan P. How 187 583 0 26 Sep 2016
Safe Exploration in Markov Decision Processes T. Moldovan Pieter Abbeel 78 308 0 22 May 2012