Approximate Kalman Filter Q-Learning for Continuous State-Space MDPs.
Charles TrippRoss D. ShachterPublished in: UAI (2013)
Keyphrases
- continuous state spaces
- kalman filter
- state space
- particle filter
- markov decision processes
- kalman filtering
- reinforcement learning
- action space
- control problems
- continuous state
- object tracking
- markov chain
- dynamic programming
- optimal policy
- particle filtering
- search space
- mean shift
- planning problems
- reinforcement learning algorithms
- optimal control
- partially observable markov decision processes
- visual tracking
- belief state
- function approximation
- approximate solutions
- neural network
- monte carlo
- markov decision process
- sufficient conditions
- markov decision problems
- image sequences
- machine learning