Deep Reinforcement Learning for Routing a Heterogeneous Fleet of Vehicles.
José Manuel VeraAndres G. AbadPublished in: CoRR (2019)
Keyphrases
- reinforcement learning
- routing decisions
- vehicular networks
- real time
- response time
- routing problem
- road segments
- state space
- vehicle detection
- markov decision processes
- reinforcement learning algorithms
- routing algorithm
- network topology
- traffic conditions
- routing protocol
- function approximation
- temporal difference
- model free
- learning process
- travel time
- shortest path
- learning algorithm
- ad hoc networks
- autonomous vehicles
- wireless ad hoc networks
- vehicle tracking
- machine learning
- routing scheme
- inter domain
- multi agent
- travel distance
- moving vehicles
- control policy
- reward function
- action selection
- learning classifier systems
- traffic flow
- mobile robot
- supervised learning