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Supply-Demand-aware Deep Reinforcement Learning for Dynamic Fleet Management.
Bolong Zheng
Lingfeng Ming
Qi Hu
Zhipeng Lü
Guanfeng Liu
Xiaofang Zhou
Published in:
ACM Trans. Intell. Syst. Technol. (2022)
Keyphrases
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fleet management
reinforcement learning
machine learning
function approximation
dynamic environments
electricity markets
state space
temporal difference learning
demand forecasting
multi agent
multi agent systems
lead time
robotic control