Markov Chain Monte Carlo for Koopman-Based Optimal Control.
João P. HespanhaKerem Yunus CamsariPublished in: IEEE Control. Syst. Lett. (2024)
Keyphrases
- optimal control
- markov chain monte carlo
- markov chain
- parameter estimation
- posterior distribution
- generative model
- posterior probability
- bayesian inference
- monte carlo
- dynamic programming
- markov chain monte carlo sampling
- control strategy
- particle filter
- approximate inference
- neural network
- optimal control problems
- reinforcement learning
- simulated annealing
- data association
- hyperparameters
- particle filtering
- graphical models
- bayesian framework
- latent variables
- appearance model
- markov random field
- probability distribution
- genetic algorithm