DIP-QL: A Novel Reinforcement Learning Method for Constrained Industrial Systems.
Hyungjun ParkDaiki MinJong-hyun RyuDong Gu ChoiPublished in: IEEE Trans. Ind. Informatics (2022)
Keyphrases
- reinforcement learning
- experimental evaluation
- significant improvement
- high precision
- similarity measure
- image segmentation
- pairwise
- classification method
- cost function
- detection method
- high accuracy
- state space
- fuzzy logic
- data mining
- segmentation method
- synthetic data
- intelligent systems
- classification accuracy
- query language
- learning algorithm
- dynamic programming
- artificial intelligence
- decision making
- bayesian networks