Digital Library

1. 1. Random Balance between Monte Carlo and Temporal Difference in off-policy Reinforcement Learning for Less Sample-Complexity
   Chayoung Kim, Seohee Park, Woosik Lee, Vol. 21, No. 5, pp. 1-7, Oct. 2020
   10.7472/jksii.2020.21.5.1
   Keywords: Deep Q-Network, Temporal Difference, Monte Carlo, Reinforcement Learning, Variation and Bias Balance
2. 2. Variable Selection of Feature Pattern using SVM-based Criterion with Q-Learning in Reinforcement Learning
   Chayoung Kim, Vol. 20, No. 4, pp. 21-27, Aug. 2019
   10.7472/jksii.2019.20.4.21
   Keywords: Support-Vector Machine, RNA sequencing Big-Data, Support Vector Machine-Recursive Feature Elimination, Q-learning, Reinforcement Learning
3. 3. Combining Support Vector Machine Recursive Feature Elimination and Intensity-dependent Normalization for Gene Selection in RNAseq
   Chayoung Kim, Vol. 18, No. 5, pp. 47-53, Oct. 2017
   10.7472/jksii.2017.18.5.47
   Keywords: Support-Vector Machine, RNAseq, Big-Data, Intensity-dependent Normalization, SVM-RFE