Automating Feature Subspace Exploration via Multi-Agent Reinforcement Learning.
Kunpeng LiuYanjie FuPengfei WangLe WuRui BoXiaolin LiPublished in: KDD (2019)
Keyphrases
- multi agent reinforcement learning
- feature subspace
- feature space
- reinforcement learning
- multi agent
- feature selection
- learning agents
- dimension reduction
- subspace learning
- feature representation
- image space
- multi agent systems
- stochastic games
- multi agent learning
- distributed control
- cooperative
- svm classifier
- image patches
- high dimensional feature space
- singular value decomposition
- generative model
- action selection
- lower dimensional
- low dimensional
- dimensionality reduction
- principal component analysis