Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning.
Kaixiang LinRenyu ZhaoZhe XuJiayu ZhouPublished in: CoRR (2018)
Keyphrases
- reinforcement learning
- multi agent
- fleet management
- learning process
- small scale
- function approximation
- cost effective
- cooperative
- single agent
- multi agent environments
- multi agent systems
- search space
- real life
- neural network
- state space
- case study
- autonomous agents
- computationally expensive
- information systems
- learning algorithm
- reinforcement learning algorithms
- reinforcement learning agents
- genetic algorithm