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Symbolic Abstractions From Data: A PAC Learning Approach

Symbolic Abstractions From Data: A PAC Learning Approach

28 April 2021
Alex Devonport
Adnane Saoud
Murat Arcak
ArXiv (abs)PDFHTML

Papers citing "Symbolic Abstractions From Data: A PAC Learning Approach"

5 / 5 papers shown
Title
Transfer Learning for Control Systems via Neural Simulation Relations
Transfer Learning for Control Systems via Neural Simulation Relations
Alireza Nadali
Bingzhuo Zhong
Ashutosh Trivedi
Majid Zamani
260
2
0
02 Dec 2024
Formal Synthesis of Controllers for Safety-Critical Autonomous Systems:
  Developments and Challenges
Formal Synthesis of Controllers for Safety-Critical Autonomous Systems: Developments and Challenges
Xiang Yin
Bingzhao Gao
Xiao Yu
118
31
0
20 Feb 2024
Neural Abstraction-Based Controller Synthesis and Deployment
Neural Abstraction-Based Controller Synthesis and Deployment
R. Majumdar
Mahmoud Salamati
Sadegh Soudjani
56
3
0
07 Jul 2023
Data-driven abstractions via adaptive refinements and a Kantorovich
  metric [extended version]
Data-driven abstractions via adaptive refinements and a Kantorovich metric [extended version]
Adrien Banse
Licio Romao
Alessandro Abate
Raphaël M. Jungers
104
12
0
30 Mar 2023
Data-driven Abstractions with Probabilistic Guarantees for Linear PETC
  Systems
Data-driven Abstractions with Probabilistic Guarantees for Linear PETC Systems
Andrea Peruffo
M. Mazo
100
14
0
10 Mar 2022
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