A Massive-Cargo Transportation Routing Model Based on Reinforcement Learning.
Yi-shun LiMing WeiPublished in: CECNet (2022)
Keyphrases
- reinforcement learning
- model free
- logistics distribution
- function approximation
- reinforcement learning algorithms
- state space
- routing algorithm
- network topology
- decision making
- data driven
- optimal policy
- transportation systems
- learning algorithm
- data analysis
- routing problem
- machine learning
- transportation problem
- ad hoc networks
- dynamic programming
- mobile ad hoc networks
- temporal difference
- neural network
- wireless ad hoc networks
- vehicle routing
- markov decision processes
- shortest path