Deep Reinforcement Learning for Routing a Heterogeneous Fleet of Vehicles.
José Manuel VeraAndres G. AbadPublished in: LA-CCI (2019)
Keyphrases
- reinforcement learning
- routing decisions
- function approximation
- vehicular networks
- road segments
- state space
- response time
- model free
- routing problem
- learning algorithm
- vehicle tracking
- ad hoc networks
- real time
- optimal policy
- deep learning
- vehicle detection
- network topology
- robotic control
- multi agent
- learning process
- urban traffic
- traffic conditions
- autonomous vehicles
- routing algorithm
- temporal difference
- routing protocol
- traffic flow
- optimal control
- traffic scenes
- inter domain
- routing scheme
- markov decision processes
- reinforcement learning algorithms
- end to end
- action space
- transfer learning
- moving vehicles
- traffic engineering
- shortest path
- learning classifier systems