An adaptable fuzzy reinforcement learning method for non-stationary environments.
Rachel HaightonAmirhossein AsgharniaHoward M. SchwartzSidney GivigiPublished in: Neurocomputing (2024)
Keyphrases
- experimental evaluation
- reinforcement learning
- high precision
- clustering method
- similarity measure
- detection method
- cost function
- neural network
- computational cost
- synthetic data
- significant improvement
- prior knowledge
- pairwise
- support vector machine
- high accuracy
- support vector machine svm
- segmentation algorithm
- objective function
- fuzzy reasoning