Deep Reinforcement Learning for Perishable Inventory Optimization Problem.
Yusuke NomuraZiang LiuTatsushi NishiPublished in: IEEM (2023)
Keyphrases
- reinforcement learning
- optimization problems
- optimization algorithm
- constrained optimization
- learning algorithm
- global optimization
- state space
- function approximation
- neural network
- machine learning
- optimization method
- optimization process
- discrete optimization
- optimal solution
- cost function
- database systems
- decision trees
- feature selection
- markov decision processes
- search engine
- database
- reinforcement learning algorithms
- reinforcement learning methods