Policy Gradient Importance Sampling for Bayesian Inference.
Yousef El-LahamMónica F. BugalloPublished in: IEEE Trans. Signal Process. (2021)
Keyphrases
- bayesian inference
- importance sampling
- policy gradient
- variance reduction
- markov chain monte carlo
- particle filter
- monte carlo
- probabilistic model
- hyperparameters
- kalman filter
- prior information
- reinforcement learning
- markov chain
- particle filtering
- posterior distribution
- object tracking
- approximate inference
- visual tracking
- state space
- mean shift
- gaussian process
- genetic algorithm
- data association
- image reconstruction
- bayesian networks