HMDRL: Hierarchical Mixed Deep Reinforcement Learning to Balance Vehicle Supply and Demand.
Jinhao XiFenghua ZhuPeijun YeYisheng LvHaina TangFei-Yue WangPublished in: IEEE Trans. Intell. Transp. Syst. (2022)
Keyphrases
- reinforcement learning
- energy supply
- electric vehicles
- demand forecasting
- network equilibrium model
- electricity markets
- function approximation
- state space
- real time
- pedestrian detection
- markov decision processes
- transfer learning
- learning algorithm
- coarse to fine
- optimal policy
- unsupervised learning
- robotic control
- deep learning
- neural network
- machine learning
- policy search
- hierarchical models
- multiple layers
- multi agent systems
- production cost
- hierarchical model
- temporal difference
- hierarchical clustering