Reinforcement Learning of POMDPs using Spectral Methods.
Kamyar AzizzadenesheliAlessandro LazaricAnimashree AnandkumarPublished in: COLT (2016)
Keyphrases
- reinforcement learning
- spectral methods
- spectral analysis
- random walk
- manifold learning
- spectral clustering
- partially observable markov decision processes
- graph partitioning
- data mining applications
- markov decision processes
- eigendecomposition
- learning algorithm
- state space
- dynamic programming
- optimal policy
- machine learning
- supervised learning
- k means
- unsupervised learning
- dimensionality reduction
- feature extraction