Manifold Regularization for Kernelized LSTD.
Xinyan YanKrzysztof ChoromanskiByron BootsVikas SindhwaniPublished in: CoRR (2017)
Keyphrases
- manifold regularization
- temporal difference
- reinforcement learning
- policy evaluation
- semi supervised learning
- semi supervised
- least squares
- semi supervised classification
- policy iteration
- dimension reduction
- nonnegative matrix factorization
- matrix completion
- supervised learning
- function approximation
- monte carlo
- model free
- evaluation function
- markov decision processes
- unlabeled data
- kernel function
- state space
- step size
- labeled data
- unsupervised learning
- optimal policy
- machine learning
- action selection
- low rank
- learning process
- training set
- support vector
- training data
- face recognition