A review of research on reinforcement learning algorithms for multi-agents

K Hu, M Li, Z Song, K Xu, Q **a, N Sun, P Zhou, M **a - Neurocomputing, 2024 - Elsevier
In recent years, multi-agent reinforcement learning techniques have been widely used and
evolved in the field of artificial intelligence. However, traditional reinforcement learning …

Modeling and analysis of external emergency response to ship fire using HTCPN and Markov chain

C Zhou, S Qin, Z Jiahao, L Du, F Zhang - Ocean engineering, 2024 - Elsevier
The effectiveness of external emergency response to ship fires is critical in minimizing the
serious consequences of ship fires. However, the insufficient consideration of the dynamic …

Ontology-based inference decision support system for emergency response in tunnel vehicle accidents

G Cui, Y Zhang, H Tao, X Yan, Z Liu - Heliyon, 2024 - cell.com
Emergency response plans for tunnel vehicle accidents are crucial to ensure human safety,
protect critical infrastructure, and maintain the smooth operation of transportation networks …

Research on the evolutionary control of unsafe behavior of construction personnel based on multi-field coupled-homogeneous analysis model

H Zhao, C Wang, Q Zheng, X **a, Y Ouyang - PLoS one, 2024 - journals.plos.org
Unsafe behavior among construction personnel poses significant risks in petroleum
engineering construction projects. This study addresses this issue through the application of …

Differential game analysis of multi-party rescue efforts during major traffic accidents based on entropy optimization

H Yan, H Li, Q Sun - Journal of Industrial and Management …, 2025 - aimsciences.org
To study the rescue behavior of respondents to major sudden traffic accidents, this study
considered an accident rescue system composed of responses from the government and …

Research on Data-Driven Methodologies for Expressway Emergency Rescue Point Location

X Hu, Z Wang, J Zhao, R Wang, H Lei… - Transportation …, 2024 - journals.sagepub.com
The rapid expansion of expressway networks has highlighted the irregular distribution of
traffic flow in both spatial and temporal dimensions; there is an escalating demand for more …

[HTML][HTML] Advanced Meteorological Hazard Defense Capability Assessment: Addressing Sample Imbalance with Deep Learning Approaches

J Tang, R Saga, Q Dai, Y Mao - Applied Sciences, 2023 - mdpi.com
With the rise in meteorological disasters, improving evaluation strategies for disaster
response agencies is critical. This shift from expert scoring to data-driven approaches is …

Research on lane-level intelligent control strategies under multi-lane failure scenarios

A Qi, X Lv, J Wang, X Fu - International Conference on Smart …, 2024 - spiedigitallibrary.org
Active traffic management has become the mainstream means of road traffic control under
the environment of vehicle-road coordination and gradually develops towards the direction …