Deep reinforcement learning approach to solve dynamic vehicle routing problem with stochastic customers

• Main Authors: JOE, Waldy, LAU, Hoong Chuin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Vehicle routing; Automatic vehicle; Reinforcement learning; Numerical Analysis and Scientific Computing; Operations Research, Systems Engineering and Industrial Engineering; Transportation
• Online Access: https://ink.library.smu.edu.sg/sis_research/5568; https://ink.library.smu.edu.sg/context/sis_research/article/6571/viewcontent/Deep_Reinforcement_Learning_Approach_to_Solve.pdf
• Institution: Singapore Management University

In real-world urban logistics operations, changes to the routes and tasks occur in response to dynamic events. To ensure customers’ demands are met, planners need to make these changes quickly (sometimes instantaneously). This paper proposes the formulation of a dynamic vehicle routing problem with...