Work

Deep reinforcement learning approach to optimize the driving performance of shield tunnelling machines

Year: 2023

Type: article

Source: Tunnelling and Underground Space Technology

DOI: 10.1016/j.tust.2023.105104

Authors: Khalid Elbaz, Annan Zhou, Shui-Long Shen

Institutions: Shantou University, RMIT University

Language: English

Topic: Tunneling and Rock Mechanics

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, Government of Guangdong Province, Guangdong Provincial Pearl River Talents Program, Guangzhou Science and Technology Innovation Center

Awards: G4599999557, G6837870123, G7796206442, G914425923

OpenAlex ID: W4328112707

FWCI: 7.857

Cites: 45

Cited by: 73

Related to: 10