Towards Real-Time Routing Optimization with Deep Reinforcement Learning: Open Challenges.
Paul AlmasanJosé Suárez-VarelaBo WuShihan XiaoPere Barlet-RosAlbert Cabellos-AparicioPublished in: CoRR (2021)
Keyphrases
- real time
- reinforcement learning
- robotic control
- logistics distribution
- low cost
- global optimization
- lessons learned
- optimization algorithm
- multi agent
- vehicle routing
- open issues
- model free
- function approximation
- optimization problems
- optimization process
- network topology
- real world
- real time systems
- high speed
- particle swarm optimization
- routing problem
- routing algorithm
- dynamic programming
- optimization method
- dynamic optimization
- markov decision processes