Reinforcement Learning for Variable Selection in a Branch and Bound Algorithm.
Marc EtheveZacharie AlèsCôme BissuelOlivier JuanSafia Kedad-SidhoumPublished in: CPAIOR (2020)
Keyphrases
- variable selection
- branch and bound algorithm
- reinforcement learning
- lower bound
- branch and bound
- cross validation
- input variables
- np hard
- upper bound
- optimal solution
- lower bounding
- combinatorial optimization
- model selection
- high dimensional
- dimension reduction
- single machine scheduling problem
- learning algorithm
- upper bounding
- high dimensional data
- finding an optimal solution
- linear programming
- search algorithm
- transfer learning
- search space
- support vector
- neural network
- data sets
- dynamic programming
- learning problems
- training set
- data analysis
- pattern recognition
- image processing
- genetic algorithm
- sparsity inducing