Interpretable policies for reinforcement learning by empirical fuzzy sets.
Jianfeng HuangPlamen P. AngelovChengliang YinPublished in: Eng. Appl. Artif. Intell. (2020)
Keyphrases
- fuzzy sets
- reinforcement learning
- optimal policy
- membership functions
- policy search
- fuzzy logic
- rough sets
- fuzzy set theory
- fuzzy rules
- machine learning
- reward function
- interval valued
- state space
- fuzzy sets theory
- approximate reasoning
- fuzzy similarity
- computational intelligence
- fuzzy reasoning
- fuzzy entropy
- markov decision processes
- fuzzy model
- pattern recognition
- granular computing
- aggregation operators
- fuzzy inference
- fuzzy relations
- membership degrees
- triangular norms
- rough set theory
- classification rules
- fuzzy numbers
- intuitionistic fuzzy sets
- fuzzy membership functions
- set theory
- neural network
- computer vision
- artificial intelligence
- real world