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Learning Provably Stabilizing Neural Controllers for Discrete-Time
  Stochastic Systems

Learning Provably Stabilizing Neural Controllers for Discrete-Time Stochastic Systems

11 October 2022
Matin Ansaripour
K. Chatterjee
T. Henzinger
Mathias Lechner
Dorde Zikelic
ArXivPDFHTML

Papers citing "Learning Provably Stabilizing Neural Controllers for Discrete-Time Stochastic Systems"

2 / 2 papers shown
Title
Learning Stabilizing Policies in Stochastic Control Systems
Learning Stabilizing Policies in Stochastic Control Systems
Dorde Zikelic
Mathias Lechner
K. Chatterjee
T. Henzinger
8
3
0
24 May 2022
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
226
1,835
0
03 Feb 2017
1