A Generic Stochastic Hybrid Car-following Model Based on Approximate Bayesian Computation.
Jiwan JiangYang ZhouXin WangSoyoung AhnPublished in: CoRR (2023)
Keyphrases
- data driven
- efficient computation
- monte carlo
- neural network
- domain specific
- data sets
- monte carlo sampling
- hidden markov models
- maximum likelihood
- multistage
- high level
- simple linear
- posterior distribution
- bayesian decision
- hybrid approaches
- pre computed
- stochastic optimization
- bayesian estimation
- hybrid learning
- gaussian processes
- bayesian inference
- genetic algorithm
- decision making
- reinforcement learning
- bayesian networks