A policy-based Monte Carlo tree search method for container pre-marshalling
Author:
Affiliation:
1. School of Management, Northwestern Polytechnical University, Xi’an, People’s Republic of China
2. Northwest Electric Power Design Institute Co., Ltd., Xi’an, People’s Republic of China
Funder
China Scholarship Council
National Natural Science Foundation of China
Shaanxi Provincial Key R&D Program, China
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207543.2023.2279130
Reference41 articles.
1. Transaction selection policy in tier-to-tier SBSRS by using Deep Q-Learning
2. Wind farm layout optimization using adaptive evolutionary algorithm with Monte Carlo Tree Search reinforcement learning
3. A tree search procedure for the container pre-marshalling problem
4. Approximate dynamic programming for container stacking
5. A mathematical formulation and complexity considerations for the blocks relocation problem
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