A deep reinforcement learning approach to mountain railway alignment optimization
| Author(s): |
Tianci Gao
(Key Laboratory of High‐Speed Railway Engineering, Ministry of Education Southwest Jiaotong University Chengdu China)
Zihan Li (Key Laboratory of High‐Speed Railway Engineering, Ministry of Education Southwest Jiaotong University Chengdu China) Yan Gao (Key Laboratory of High‐Speed Railway Engineering, Ministry of Education Southwest Jiaotong University Chengdu China) Paul Schonfeld (Department of Civil and Environmental Engineering University of Maryland College Park MD USA) Xiaoyun Feng (School of Electrical Engineering Southwest Jiaotong University Chengdu China) Qingyuan Wang (School of Electrical Engineering Southwest Jiaotong University Chengdu China) Qing He (Key Laboratory of High‐Speed Railway Engineering, Ministry of Education Southwest Jiaotong University Chengdu China) |
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Computer-Aided Civil and Infrastructure Engineering, 20 December 2022, n. 1, v. 37 |
| Page(s): | 73-92 |
| DOI: | 10.1111/mice.12694 |
- About this
data sheet - Reference-ID
10607235 - Published on:
15/05/2021 - Last updated on:
07/01/2022
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