Simultaneous active parameter estimation and control using sampling-based Bayesian reinforcement learning.
Patrick SladePreston CulbertsonZachary SunbergMykel J. KochenderferPublished in: IROS (2017)
Keyphrases
- parameter estimation
- maximum likelihood
- bayesian reinforcement learning
- markov chain monte carlo
- model selection
- markov random field
- random fields
- least squares
- parameter estimation algorithm
- em algorithm
- approximate inference
- expectation maximization
- control system
- posterior distribution
- structure learning
- estimation problems
- optimal control
- parameter estimates
- logic programs
- image processing
- monte carlo
- control problems
- model fitting
- markov chain
- probabilistic model
- clustering algorithm