Reinforcement Learning Driven Heuristic Optimization.
Qingpeng CaiWill HangAzalia MirhoseiniGeorge TuckerJingtao WangWei WeiPublished in: CoRR (2019)
Keyphrases
- reinforcement learning
- combinatorial optimization
- dynamic programming
- optimization problems
- data driven
- function approximation
- machine learning
- search algorithm
- learning process
- multi objective
- state space
- optimization process
- heuristic methods
- temporal difference learning
- action selection
- reinforcement learning algorithms
- neural network
- optimization model
- search procedure
- optimization method
- optimization algorithm
- simulated annealing