Automated simulation testing for complex software environments using multi-agent reinforcement learning

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Authors

Publication Details

Journal
International Journal of Simulation and Process Modelling
Published
2025-01-01
DOI
https://doi.org/10.1504/ijspm.2025.10075279
Primary Topic
Reinforcement Learning in Robotics
Type
article
Field-Weighted Citation Impact
0.00
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article

Automated simulation testing for complex software environments using multi-agent reinforcement learning

Jing Luo, Qiuming Zhang
International Journal of Simulation and Process Modelling
Reinforcement Learning in Robotics
article

Automated simulation testing for complex software environments using multi-agent reinforcement learning

Jing Luo, Qiuming Zhang
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Simulation and Process ModellingVol. 22(1)
Openalex Percentile: Top 78%
Reinforcement Learning in Robotics
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Automated simulation testing for complex software environments using multi-agent reinforcement learning — Jing Luo, Qiuming Zhang · International Journal of Simulation and Process Modelling (2025) | TGRS Research Map | TGRS