A self-learning genetic algorithm based on reinforcement learning for flexible job-shop scheduling problem.
Ronghua ChenBo YangShi LiShilong WangPublished in: Comput. Ind. Eng. (2020)
Keyphrases
- reinforcement learning
- function approximation
- multi objective
- dynamic programming
- state space
- temporal difference learning
- job shop scheduling
- optimal policy
- learning algorithm
- markov decision processes
- model free
- temporal difference
- reinforcement learning algorithms
- control problems
- machine learning
- robotic control
- monte carlo
- learning tasks
- mobile robot
- optimal control
- robot control
- artificial neural networks
- stochastic approximation
- relational reinforcement learning
- direct policy search