Charging stations expansion planning under government policy driven based on Bayesian regularization backpropagation learning.
Dandan HuJinsong ZhangZhi-Wei LiuPublished in: Neurocomputing (2020)
Keyphrases
- action selection
- policy makers
- data driven
- public policy
- public sector
- planning problems
- information technology
- e government
- heuristic search
- reinforcement learning problems
- electric vehicles
- motion planning
- united states
- optimal policy
- goal oriented
- partially observable
- partially observable markov decision processes
- policy making
- neural network
- digital government
- ai planning
- search space
- planning systems
- planning process
- decision making
- learning algorithm