Synthetic Sample Selection via Reinforcement Learning.
Jiarong YeYuan XueL. Rodney LongSameer K. AntaniZhiyun XueKeith C. ChengXiaolei HuangPublished in: CoRR (2020)
Keyphrases
- sample selection
- reinforcement learning
- active learning
- training data
- selection strategy
- function approximation
- learning algorithm
- real world
- support vector machine
- model free
- learning process
- neural network
- state space
- optimal policy
- markov decision processes
- multi agent
- machine learning
- supervised learning
- meta learning