Expert-Guided Deep Reinforcement Learning for Flexible Job Shop Scheduling Problem.
Wenqiang ZhangHuili GengXuan BaoMitsuo GenGuohui ZhangMiaolei DengPublished in: BIC-TA (2) (2023)
Keyphrases
- reinforcement learning
- multi objective
- robotic control
- reinforcement learning algorithms
- markov decision processes
- function approximation
- temporal difference
- human experts
- multi agent reinforcement learning
- job shop scheduling
- multi agent
- domain experts
- reinforcement learning methods
- model free
- learning algorithm
- expert knowledge
- optimal policy
- robot control
- learning agents
- information systems
- action selection
- learning process
- dynamic programming
- learning capabilities
- partially observable
- markov decision process
- action space
- supervised learning
- transfer learning