Reinforcement Learning for Variable Selection in a Branch and Bound Algorithm.
Marc EtheveZacharie AlèsCôme BissuelOlivier JuanSafia Kedad-SidhoumPublished in: CoRR (2020)
Keyphrases
- variable selection
- branch and bound algorithm
- reinforcement learning
- lower bound
- branch and bound
- cross validation
- input variables
- np hard
- lower bounding
- upper bound
- high dimensional
- optimal solution
- model selection
- upper bounding
- single machine scheduling problem
- learning algorithm
- combinatorial optimization
- dynamic programming
- feature selection
- dimension reduction
- high dimensional data
- finding an optimal solution
- pattern recognition
- preprocessing
- search algorithm
- machine learning
- least squares
- evolutionary algorithm
- mathematical programming
- training data
- data mining