SCA-MADRL: Multiagent deep reinforcement learning framework based on state classification and assignment for intelligent shield attitude control.
Jin XuJinfeng BuNa QinDeqing HuangPublished in: Expert Syst. Appl. (2024)
Keyphrases
- reinforcement learning
- multi agent
- machine learning
- state space
- cooperative
- optimal control
- feature vectors
- support vector
- control problems
- classification accuracy
- video classification
- robot control
- classification method
- classification algorithm
- dynamic programming
- pattern recognition
- unsupervised learning
- optimal policy
- class labels
- supervised learning
- classification models
- feature space
- multi agent systems
- learning agents
- decision trees