Multi-Agent Mix Hierarchical Deep Reinforcement Learning for Large-Scale Fleet Management.
Xiaohui HuangJiahao LingXiaofei YangXiong ZhangKaiming YangPublished in: IEEE Trans. Intell. Transp. Syst. (2023)
Keyphrases
- reinforcement learning
- fleet management
- multi agent
- hierarchical reinforcement learning
- small scale
- function approximation
- real world
- multiple layers
- multi agent systems
- multi agent environments
- markov decision processes
- learning algorithm
- cooperative
- reinforcement learning agents
- coarse to fine
- reinforcement learning algorithms
- multi agent reinforcement learning
- single agent
- model free
- data sets
- software agents
- hierarchical structure
- supervised learning
- intelligent agents
- neural network
- optimal control
- traffic signal control
- robotic control
- dynamic programming
- cooperative agents
- heterogeneous agents
- multiagent systems
- learning agents
- action space
- agent oriented
- machine learning