Simultaneous active parameter estimation and control using sampling-based Bayesian reinforcement learning.
Patrick SladePreston CulbertsonZachary SunbergMykel J. KochenderferPublished in: CoRR (2017)
Keyphrases
- parameter estimation
- maximum likelihood
- markov random field
- least squares
- model selection
- markov chain monte carlo
- parameter estimation algorithm
- bayesian reinforcement learning
- random fields
- em algorithm
- model fitting
- control system
- expectation maximization
- posterior distribution
- reinforcement learning
- approximate inference
- estimation problems
- monte carlo tree search
- monte carlo
- control problems
- control strategies
- conditional random fields
- logic programs
- graphical models
- video sequences