Reinforcement Learning for POMDP Using State Classification.
Le Tien DungTakashi KomedaMotoki TakagiPublished in: Appl. Artif. Intell. (2008)
Keyphrases
- reinforcement learning
- state space
- hidden state
- partially observable
- machine learning
- text classification
- markov decision processes
- pattern recognition
- optimal policy
- classification accuracy
- feature selection
- function approximation
- decision trees
- feature extraction
- support vector machine
- supervised learning
- support vector machine svm
- reinforcement learning algorithms
- support vector
- model free reinforcement learning
- hidden markov models
- partially observable markov decision process
- partial observability
- belief state
- state variables
- multi agent
- planning problems
- dynamical systems
- classification method
- feature space
- training set