Adaptive Probabilistic Trajectory Optimization via Efficient Approximate Inference.
Yunpeng PanXinyan YanEvangelos A. TheodorouByron BootsPublished in: CoRR (2016)
Keyphrases
- bayesian networks
- probabilistic reasoning
- probabilistic networks
- optimization problems
- data driven
- inference process
- optimization algorithm
- belief networks
- global optimization
- logical inference
- probabilistic logic
- generative model
- optimization process
- bayes nets
- inference in bayesian networks
- inference engine
- probabilistic model
- dual decomposition
- constrained optimization
- independence assumption
- data sets
- image segmentation