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Compositional Reinforcement Learning for Discrete-Time Stochastic Control Systems

Lookup NU author(s): Dr Abolfazl LavaeiORCiD, Dr Milad Kazemi Mehrabadi, Dr Sadegh SoudjaniORCiD

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).

Publication metadata

Author(s): Lavaei A, Perez M, Kazemi M, Somenzi F, Soudjani S, Trivedi A, Zamani M

Publication type: Article

Publication status: Published

Journal: IEEE Open Journal of Control Systems

Year: 2023

Volume: 2

Pages: 425-438

Online publication date: 01/11/2023

Acceptance date: 15/10/2023

Date deposited: 30/10/2024

ISSN (electronic): 2694-085X

Publisher: IEEE

URL: https://doi.org/10.1109/OJCSYS.2023.3329394

DOI: 10.1109/OJCSYS.2023.3329394

Data Access Statement: "The data access statement" of the paper is available at: https://doi.org/10.5281/zenodo.10048195

Notes: Special Section on Formal Verification and Synthesis of Cyber-Physical Systems

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Funding

Funder referenceFunder name
EIC 101070802
EPSRC EP/V043676/1
ERC 101089047
NSF: Grants CNS-2145184, CNS-1952223, and A22-0123-S003

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