Deep Learning Approximation for Stochastic Control Problems.
Jiequn HanWeinan EPublished in: CoRR (2016)
Keyphrases
- control problems
- deep learning
- stochastic control
- optimal control
- reinforcement learning
- unsupervised learning
- continuous state spaces
- unsupervised feature learning
- machine learning
- adaptive control
- weakly supervised
- mental models
- deep architectures
- queueing networks
- brownian motion
- text classification
- information extraction
- active learning
- feature selection