Integrating distributed Bayesian inference and reinforcement learning for sensor management.
Corrado GrappioloShimon WhitesonGregor PavlinBram BakkerPublished in: FUSION (2009)
Keyphrases
- bayesian inference
- reinforcement learning
- probabilistic model
- prior information
- bayesian model
- multi agent
- hyperparameters
- distributed systems
- variational inference
- hierarchical bayesian
- sensor networks
- sensor data
- statistical inference
- weighted model counting
- variational bayes
- hidden variables
- particle filter
- probabilistic modeling
- markov decision processes
- decision trees
- bayesian models
- markov chain monte carlo
- prior distribution
- dynamic programming
- expectation propagation
- gibbs sampler
- learning algorithm
- machine learning