The marriage of operations research and reinforcement learning: Integration of NEH into Q-learning algorithm for the permutation flowshop scheduling problem.
Daqiang GuoSichao LiuShiquan LingMingxing LiYishuo JiangMing LiGeorge Q. HuangPublished in: Expert Syst. Appl. (2024)
Keyphrases
- reinforcement learning
- learning algorithm
- reinforcement learning algorithms
- function approximation
- dynamic programming
- learning tasks
- markov decision processes
- data integration
- machine learning algorithms
- supervised learning
- state space
- generalization ability
- learning process
- transfer learning
- management science
- branch and bound algorithm
- machine learning
- fitted q iteration
- learning problems
- optimal policy
- computer science
- training examples
- classification algorithm
- learning rate
- learning capabilities
- multi agent
- rl algorithms
- training data