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Certifiably-correct Control Policies for Safe Learning and Adaptation in
  Assistive Robotics

Certifiably-correct Control Policies for Safe Learning and Adaptation in Assistive Robotics

12 March 2023
K. Majd
Geoffrey Clark
Tanmay Khandait
Siyu Zhou
S. Sankaranarayanan
Georgios Fainekos
H. B. Amor
ArXivPDFHTML

Papers citing "Certifiably-correct Control Policies for Safe Learning and Adaptation in Assistive Robotics"

3 / 3 papers shown
Title
Sound and Complete Neural Network Repair with Minimality and Locality
  Guarantees
Sound and Complete Neural Network Repair with Minimality and Locality Guarantees
Feisi Fu
Wenchao Li
KELM
AAML
41
26
0
14 Oct 2021
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
249
1,838
0
03 Feb 2017
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
Marta Kwiatkowska
Sen Wang
Min Wu
AAML
180
932
0
21 Oct 2016
1