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Reachability-based Trajectory Safeguard (RTS): A Safe and Fast
  Reinforcement Learning Safety Layer for Continuous Control
v1v2v3 (latest)

Reachability-based Trajectory Safeguard (RTS): A Safe and Fast Reinforcement Learning Safety Layer for Continuous Control

17 November 2020
Y. Shao
Chao Chen
Shreyas Kousik
Ram Vasudevan
ArXiv (abs)PDFHTML

Papers citing "Reachability-based Trajectory Safeguard (RTS): A Safe and Fast Reinforcement Learning Safety Layer for Continuous Control"

13 / 13 papers shown
Title
Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization
Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization
Weiye Zhao
Yifan Sun
Fei Li
Rui Chen
Tianhao Wei
Changliu Liu
114
6
0
25 Aug 2023
Safe & Accurate at Speed with Tendons: A Robot Arm for Exploring Dynamic
  Motion
Safe & Accurate at Speed with Tendons: A Robot Arm for Exploring Dynamic Motion
Simon Guist
Jan Schneider
Hao Ma
Tianyu Cui
V. Berenz
...
Felix Gruninger
M. Muhlebach
J. Fiene
Bernhard Schölkopf
Le Chen
88
4
0
05 Jul 2023
Safe Reinforcement Learning with Dead-Ends Avoidance and Recovery
Safe Reinforcement Learning with Dead-Ends Avoidance and Recovery
Xiao Zhang
Hai Zhang
Hongtu Zhou
Chang Huang
Di Zhang
Chen Ye
Junqiao Zhao
OffRL
85
5
0
24 Jun 2023
Safe Reinforcement Learning with Probabilistic Guarantees Satisfying
  Temporal Logic Specifications in Continuous Action Spaces
Safe Reinforcement Learning with Probabilistic Guarantees Satisfying Temporal Logic Specifications in Continuous Action Spaces
Hanna Krasowski
Prithvi Akella
Aaron D. Ames
Matthias Althoff
82
2
0
12 Dec 2022
Safe Reinforcement Learning using Data-Driven Predictive Control
Safe Reinforcement Learning using Data-Driven Predictive Control
Mahmoud Selim
Amr Alanwar
M. El-Kharashi
Hazem Abbas
Karl H. Johansson
OffRL
79
3
0
20 Nov 2022
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
Niklas Kochdumper
Hanna Krasowski
Xiao Wang
Stanley Bak
Matthias Althoff
86
30
0
19 Oct 2022
Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement
  Learning in Unknown Stochastic Environments
Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments
Yixuan Wang
S. Zhan
Ruochen Jiao
Zhilu Wang
Wanxin Jin
Zhuoran Yang
Zhaoran Wang
Chao Huang
Qi Zhu
91
52
0
29 Sep 2022
Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks:
  Navigation, Manipulation, Interaction
Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction
Puze Liu
Kuo Zhang
Davide Tateo
Snehal Jauhri
Zhiyuan Hu
Jan Peters
Georgia Chalvatzaki
109
18
0
27 Sep 2022
Provably Safe Deep Reinforcement Learning for Robotic Manipulation in
  Human Environments
Provably Safe Deep Reinforcement Learning for Robotic Manipulation in Human Environments
Jakob Thumm
Matthias Althoff
129
36
0
12 May 2022
Safe Reinforcement Learning Using Black-Box Reachability Analysis
Safe Reinforcement Learning Using Black-Box Reachability Analysis
Mahmoud Selim
Amr Alanwar
Shreyas Kousik
Grace Gao
Marco Pavone
Karl H. Johansson
64
34
0
15 Apr 2022
A Simple and Efficient Sampling-based Algorithm for General Reachability
  Analysis
A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis
T. Lew
Lucas Janson
Riccardo Bonalli
Marco Pavone
89
18
0
10 Dec 2021
Risk Conditioned Neural Motion Planning
Risk Conditioned Neural Motion Planning
Xin Huang
Meng Feng
A. Jasour
Guy Rosman
B. Williams
62
7
0
04 Aug 2021
Distributionally robust risk map for learning-based motion planning and
  control: A semidefinite programming approach
Distributionally robust risk map for learning-based motion planning and control: A semidefinite programming approach
A. Hakobyan
Insoon Yang
167
25
0
03 May 2021
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