ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2210.05304
  4. Cited By
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"

3 / 3 papers shown
Title
Compositional Policy Learning in Stochastic Control Systems with Formal
  Guarantees
Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees
Dorde Zikelic
Mathias Lechner
Abhinav Verma
K. Chatterjee
T. Henzinger
38
9
0
03 Dec 2023
Learning Stabilizing Policies in Stochastic Control Systems
Learning Stabilizing Policies in Stochastic Control Systems
Dorde Zikelic
Mathias Lechner
K. Chatterjee
T. Henzinger
29
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
249
1,838
0
03 Feb 2017
1