State generalization method with support vector machines in reinforcement learning.
Ryo GotoHiroshi MatsuoPublished in: Systems and Computers in Japan (2006)
Keyphrases
- high precision
- detection method
- preprocessing
- reinforcement learning
- experimental evaluation
- computational cost
- optimization method
- optimization algorithm
- computationally efficient
- high accuracy
- cost function
- similarity measure
- mutual information
- image segmentation
- missing data
- synthetic data
- training data
- objective function
- support vector machine svm
- multi agent
- model selection
- significant improvement
- computational complexity
- least squares
- classification accuracy
- probabilistic model
- data sets
- mobile robot
- pairwise
- prior knowledge