Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning.
Kaixiang LinRenyu ZhaoZhe XuJiayu ZhouPublished in: KDD (2018)
Keyphrases
- reinforcement learning
- multi agent
- fleet management
- real life
- small scale
- cooperative
- function approximation
- state space
- neural network
- artificial intelligence
- multi agent systems
- supervised learning
- lightweight
- computationally efficient
- cost effective
- markov decision processes
- website
- reinforcement learning agents
- multi agent coordination
- traffic signal control
- database