approximation: a state-space approach using Schur parameters.
Jean-Paul MarmoratMartine OliviBernard HanzonRalf L. M. PeetersPublished in: CDC (2002)
Keyphrases
- state space
- markovian decision
- state variables
- monte carlo
- maximum likelihood
- parameter estimation
- heuristic search
- parameter settings
- dynamical systems
- parameter values
- reinforcement learning
- markov decision processes
- error bounds
- closed form
- expectation maximization
- error tolerance
- sensitivity analysis
- update equations
- measured data
- input parameters
- closed form solutions
- maximum likelihood estimation
- probability density function
- particle filter
- dynamic programming