Enhancing Courier Scheduling in Crowdsourced Last-Mile Delivery through Dynamic Shift Extensions: A Deep Reinforcement Learning Approach.
Zead SalehAhmad Al HanbaliAhmad BaubaidPublished in: CoRR (2024)
Keyphrases
- reinforcement learning
- scheduling algorithm
- dynamically changing
- low quality
- high quality
- multi agent
- scheduling problem
- reinforcement learning algorithms
- function approximation
- efficient implementation
- evaluation function
- resource allocation
- dynamic environments
- real time
- dynamic programming
- np hard
- information systems
- genetic algorithm
- information retrieval
- data sets