Sequential Monte Carlo samplers for model-based reinforcement learning.
Orhan SonmezAli Taylan CemgilPublished in: SIU (2013)
Keyphrases
- sequential monte carlo
- model based reinforcement learning
- markov decision processes
- particle filter
- markov chain monte carlo
- visual tracking
- random sampling
- posterior distribution
- bayesian inference
- particle filtering
- reinforcement learning
- importance sampling
- state space
- parameter estimation
- dynamic programming
- monte carlo
- text mining
- multiple targets
- relational databases
- markov decision problems
- posterior probability
- appearance model
- mean shift