Anti-drifting Feature Selection via Deep Reinforcement Learning (Student Abstract).
Aoran WangHongyang YangFeng MaoZongzhang ZhangYang YuXiaoyang LiuPublished in: AAAI (2023)
Keyphrases
- feature selection
- reinforcement learning
- learning process
- knowledge level
- machine learning
- student learning
- learning environment
- text categorization
- intelligent tutoring systems
- text classification
- function approximation
- tutoring system
- higher level
- temporal difference
- low level
- feature subset
- feature selection algorithms
- feature set
- multi class
- knn
- mutual information
- high level
- student model
- transfer learning
- support vector
- optimal control
- undergraduate students
- selected features
- reinforcement learning algorithms
- discriminative features
- method for feature selection
- information gain
- feature extraction
- optimal policy
- classification accuracy
- dynamic programming
- markov decision processes
- data sets
- learning styles
- high dimensional
- supervised learning
- support vector machine
- state space
- programming course
- function approximators
- university level
- unsupervised feature selection