Work

A physics-informed multi-agent deep reinforcement learning method for autonomous reinforcement design of double-pile caps

Year: 2026

Type: article

Source: Engineering Applications of Artificial Intelligence

DOI: 10.1016/j.engappai.2026.116130

Authors: Zhaofan Liang, Buyu Jia, Yujun Lin, Xiaolin Yu

Institution: South China University of Technology

Language: English

Topic: Structural Engineering and Materials Analysis

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: Natural Science Foundation of Guangdong Province

Awards: G2247570564, G4800730649, G7518169872

OpenAlex ID: W7207878192

FWCI:

Cites: 43

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