Transfer reinforcement learning via meta-knowledge extraction using auto-pruned decision trees.
Yixing LanXin XuQiang FangYujun ZengXinwang LiuXianjian ZhangPublished in: Knowl. Based Syst. (2022)
Keyphrases
- knowledge extraction
- decision trees
- reinforcement learning
- transfer learning
- machine learning
- function approximation
- naive bayes
- textual documents
- knowledge discovery
- learning algorithm
- machine learning algorithms
- systems engineering
- decision tree induction
- reinforcement learning algorithms
- knowledge transfer
- state space
- data mining
- rule induction
- medical databases
- markov decision processes
- data mining methods
- predictive accuracy
- random forest
- pruning algorithm
- temporal difference
- previously learned
- decision tree algorithm
- training data
- meta level
- dynamic programming
- learning process
- decision rules
- optimal policy
- decision tree learning
- training set
- multi agent
- information retrieval
- attribute selection
- constructive induction
- fuzzy logic
- classification rules
- real world