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Multiagent Q-Learning Approach for the Recharging Scheduling of Electric Automated Guided Vehicles in Container Terminals.

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Title: Multiagent Q-Learning Approach for the Recharging Scheduling of Electric Automated Guided Vehicles in Container Terminals.
Authors: Zhou, Chenhao1,2 (AUTHOR) zhou_chenhao@u.nus.edu, Stephen, Aloisius1 (AUTHOR) aloisius.s@u.nus.edu, Tan, Kok Choon3 (AUTHOR) biztkc@nus.edu.sg, Chew, Ek Peng1 (AUTHOR) isecep@nus.edu.sg, Lee, Loo Hay1 (AUTHOR) iseleelh@nus.edu.sg
Source: Transportation Science (INFORMS). May/Jun2024, Vol. 58 Issue 3, p664-683. 20p.
Database: Business Source Ultimate
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  Data: Multiagent Q-Learning Approach for the Recharging Scheduling of Electric Automated Guided Vehicles in Container Terminals.
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  Data: <searchLink fieldCode="JN" term="%22Transportation+Science+%28INFORMS%29%22">Transportation Science (INFORMS)</searchLink>. May/Jun2024, Vol. 58 Issue 3, p664-683. 20p.
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        Value: 10.1287/trsc.2022.0113
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        Text: English
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      – TitleFull: Multiagent Q-Learning Approach for the Recharging Scheduling of Electric Automated Guided Vehicles in Container Terminals.
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              Text: May/Jun2024
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              Y: 2024
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