Tuning of reinforcement learning parameters applied to SOP using the Scott-Knott method.
André L. C. OttoniErivelton G. NepomucenoMarcos S. de OliveiraDaniela C. R. de OliveiraPublished in: Soft Comput. (2020)
Keyphrases
- fine tuning
- parameter settings
- pairwise
- parameter selection
- segmentation method
- detection method
- reinforcement learning
- sensitivity analysis
- parameter estimation
- dynamic programming
- input data
- maximum likelihood
- model selection
- experimental evaluation
- significant improvement
- maximum likelihood estimation
- support vector machine
- support vector machine svm
- computational cost
- classification method
- cost function
- parameter tuning
- prior knowledge
- machine learning