Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Learning with Graph Neural Network.
Juhyeon KimPublished in: CoRR (2020)
Keyphrases
- road network
- reinforcement learning
- fleet management
- multi agent
- neural network
- shortest path
- moving objects
- travel time
- transportation networks
- spatial networks
- weighted graph
- location based services
- route planning
- artificial neural networks
- random walk
- function approximation
- road segments
- function approximators
- graph structure
- multi agent systems
- geographic information systems
- state space
- multi agent environments
- learning algorithm
- trajectory data
- traffic data
- directed graph
- machine learning
- optimal policy
- map matching
- traffic congestion
- edge weights
- multiple agents
- graph mining
- traffic conditions
- gps data
- bipartite graph
- moving object trajectories