Reinforcement Learning-Aided Markov Chain Monte Carlo For Lattice Gaussian Sampling.
Zheng WangYili XiaShanxiang LyuCong LingPublished in: ITW (2021)
Keyphrases
- markov chain monte carlo
- reinforcement learning
- sampling algorithm
- markov chain
- markov chain monte carlo sampling
- parameter estimation
- posterior probability
- monte carlo
- generative model
- bayesian inference
- posterior distribution
- particle filter
- importance sampling
- state space
- maximum likelihood
- approximate inference
- data association
- gaussian distribution
- gibbs sampler
- particle filtering
- machine learning
- closed form
- hyperparameters
- dynamic programming
- model selection
- high dimensional state space
- learning algorithm