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Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning
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Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning (2018)Efficient Large-Scale Fleet Management vi…Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning (2019)Efficient Ridesharing Order D…Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends (2019)Deep Learning for Intelligent…Taxi Dispatch System Based on Current Demands and Real-Time Traffic Conditions (2004)Ridesharing: The state-of-the-art and future directions (2013)Large-Scale Order Dispatch in On-Demand Ride-Hailing Platforms (2018)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Applications of Artificial Intelligence and Machine learning in smart cities (2020)Developing future human-centered smart cities: Critical analysis of smart city security, Data management, and Ethical challenges (2021)Graph Neural Networks for Intelligent Transportation Systems: A Survey (2023)
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  • 2019Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends416 cited
  • 2019Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning261 cited

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