Approximate policy iteration with unsupervised feature learning based on manifold regularization.
Hongliang LiDerong LiuDing WangPublished in: IJCNN (2015)
Keyphrases
- manifold regularization
- unsupervised feature learning
- deep learning
- semi supervised learning
- semi supervised
- higher order
- semi supervised classification
- unsupervised learning
- policy iteration
- dimension reduction
- matrix completion
- unlabeled data
- nonnegative matrix factorization
- markov decision processes
- labeled data
- supervised learning
- low rank
- machine learning
- temporal difference
- active learning
- knn
- model selection
- linear programming
- domain specific
- pairwise
- reinforcement learning