Reinforcement Learning based Optimization of Bayesian Networks for Generating Feasible Vehicle Configuration Suggestions.
Simon DürrRaphael LamprechtMatthias KauffmannMarco F. HuberPublished in: CASE (2021)
Keyphrases
- bayesian networks
- reinforcement learning
- optimal configuration
- optimization algorithm
- optimization problems
- probabilistic model
- incomplete data
- optimal policy
- optimization method
- neural network
- reinforcement learning algorithms
- global optimization
- learning problems
- random variables
- graphical models
- supervised learning
- dynamic programming
- multi objective
- real time
- evolutionary algorithm
- learning algorithm
- objective function
- optimization process
- optimization model
- vehicle detection
- bayesian belief networks