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. 2210.05308
  4. Cited By
Learning Control Policies for Stochastic Systems with Reach-avoid
  Guarantees

Learning Control Policies for Stochastic Systems with Reach-avoid Guarantees

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

Papers citing "Learning Control Policies for Stochastic Systems with Reach-avoid Guarantees"

12 / 12 papers shown
Title
Neural Continuous-Time Supermartingale Certificates
Neural Continuous-Time Supermartingale Certificates
Grigory Neustroev
Mirco Giacobbe
Anna Lukina
31
2
0
23 Dec 2024
Neural Model Checking
Neural Model Checking
Mirco Giacobbe
Daniel Kroening
Abhinandan Pal
Michael Tautschnig
NAI
24
1
0
31 Oct 2024
Certified Policy Verification and Synthesis for MDPs under
  Distributional Reach-avoidance Properties
Certified Policy Verification and Synthesis for MDPs under Distributional Reach-avoidance Properties
S. Akshay
Krishnendu Chatterjee
Tobias Meggendorfer
Dorde Zikelic
19
1
0
07 May 2024
Piecewise Stochastic Barrier Functions
Piecewise Stochastic Barrier Functions
Rayan Mazouz
Frederik Baymler Mathiesen
Luca Laurenti
Morteza Lahijanian
19
4
0
25 Apr 2024
Unifying Qualitative and Quantitative Safety Verification of
  DNN-Controlled Systems
Unifying Qualitative and Quantitative Safety Verification of DNN-Controlled Systems
Dapeng Zhi
Peixin Wang
Si Liu
C.-H. Luke Ong
Min Zhang
36
5
0
02 Apr 2024
Robustness Verification of Deep Reinforcement Learning Based Control
  Systems using Reward Martingales
Robustness Verification of Deep Reinforcement Learning Based Control Systems using Reward Martingales
Dapeng Zhi
Peixin Wang
Cheng Chen
Min Zhang
23
0
0
15 Dec 2023
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
25
9
0
03 Dec 2023
Fossil 2.0: Formal Certificate Synthesis for the Verification and
  Control of Dynamical Models
Fossil 2.0: Formal Certificate Synthesis for the Verification and Control of Dynamical Models
Alec Edwards
Andrea Peruffo
Alessandro Abate
8
18
0
16 Nov 2023
Shielded Reinforcement Learning for Hybrid Systems
Shielded Reinforcement Learning for Hybrid Systems
Asger Horn Brorholt
P. G. Jensen
Kim G. Larsen
Florian Lorber
Christian Schilling
11
4
0
28 Aug 2023
Robust Control for Dynamical Systems With Non-Gaussian Noise via Formal
  Abstractions
Robust Control for Dynamical Systems With Non-Gaussian Noise via Formal Abstractions
Thom S. Badings
Licio Romao
Alessandro Abate
David Parker
Hasan A. Poonawala
Marielle Stoelinga
N. Jansen
19
36
0
04 Jan 2023
Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic
  Dynamical Models with Epistemic Uncertainty
Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty
Thom S. Badings
Licio Romao
Alessandro Abate
N. Jansen
11
26
0
12 Oct 2022
Learning Provably Stabilizing Neural Controllers for Discrete-Time
  Stochastic Systems
Learning Provably Stabilizing Neural Controllers for Discrete-Time Stochastic Systems
Matin Ansaripour
K. Chatterjee
T. Henzinger
Mathias Lechner
Dorde Zikelic
19
4
0
11 Oct 2022
1