Controlling Aluminum Strip Thickness by Clustered Reinforcement Learning With Real-World Dataset.
Ziqi XiaoZhili HeHuanghuang LiangChuang HuDazhao ChengPublished in: IEEE Trans. Ind. Informatics (2024)
Keyphrases
- reinforcement learning
- real world
- synthetic datasets
- wide range
- data sets
- function approximation
- model free
- state space
- synthetic data
- database
- benchmark datasets
- data mining
- real robot
- multi agent reinforcement learning
- thin film
- training dataset
- optimal control
- optimal policy
- mobile robot
- artificial neural networks
- real time