Provably Safe Reinforcement Learning via Action Projection using
Reachability Analysis and Polynomial Zonotopes

Provably Safe Reinforcement Learning via Action Projection using Reachability Analysis and Polynomial Zonotopes

19 October 2022

Niklas Kochdumper

Hanna Krasowski

Matthias Althoff

Papers citing "Provably Safe Reinforcement Learning via Action Projection using Reachability Analysis and Polynomial Zonotopes"

8 / 8 papers shown

Title
Safe Autonomous Environmental Contact for Soft Robots using Control Barrier Functions Akua Dickson Juan C. Pacheco Garcia Meredith L. Anderson Ran Jing Sarah Alizadeh-Shabdiz Audrey X. Wang Charles DeLorey Zach J. Patterson Andrew P. Sabelhaus 38 1 0 20 Apr 2025
NavRL: Learning Safe Flight in Dynamic Environments Zhefan Xu Xinming Han Haoyu Shen Hanyu Jin Kenji Shimada 37 4 0 24 Sep 2024
POLAR-Express: Efficient and Precise Formal Reachability Analysis of Neural-Network Controlled Systems Yixuan Wang Weichao Zhou Jiameng Fan Zhilu Wang Jiajun Li Xin Chen Chao Huang Wenchao Li Qi Zhu 33 15 0 31 Mar 2023
A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors Shangding Gu Alap Kshirsagar Yali Du Guang Chen Jan Peters Alois C. Knoll 34 14 0 25 Feb 2023
Safe Reinforcement Learning with Probabilistic Guarantees Satisfying Temporal Logic Specifications in Continuous Action Spaces Hanna Krasowski Prithvi Akella Aaron D. Ames Matthias Althoff 20 2 0 12 Dec 2022
Provably Safe Deep Reinforcement Learning for Robotic Manipulation in Human Environments Jakob Thumm Matthias Althoff 50 34 0 12 May 2022
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 102 53 0 13 Sep 2021
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 165 1,632 0 02 Feb 2020