Reinforcement learning for vehicle routing

Vehicle routing has been extensively studied in optimization problems. With the advance of AI and big data, this project aims to solve vehicle routing problems (VRP) using reinforcement learning.

M.S. are welcome to register my research credits during the semesters and summer. The student involved in this project will conduct a comprehensive literature review on VRP and develop a RL model. Students with good computer and coding skills are preferred. Skill requirements are:
1. Familiar with reinforcement learning models.
2. Familiar with Python. Generating figures, graphs, tables, or statistical models to present results with python.
3. Creating simulation environment in SUMO (a traffic simulator).

Position Dates: Summer 2022

Direct Supervisor: Sharon Di

Hours per week: 20 hr/week

Qualifications:

  1. Familiar with reinforcement learning models.
  2. Familiar with Python. Generating figures, graphs, tables, or statistical models to present results with python.
  3. Creating simulation environment in SUMO (a traffic simulator).

Eligibility: Senior, Master's (SEAS only)

Sharon Di, [email protected]