Reinforcement Learning of POMDP's using Spectral Methods.
Kamyar AzizzadenesheliAlessandro LazaricAnimashree AnandkumarPublished in: CoRR (2016)
Keyphrases
- reinforcement learning
- spectral methods
- spectral analysis
- random walk
- manifold learning
- spectral clustering
- partially observable markov decision processes
- state space
- partially observable
- data mining applications
- graph partitioning
- markov decision processes
- optimal policy
- partially observable markov decision process
- eigendecomposition
- learning algorithm
- machine learning
- graph clustering
- multi label
- reward function
- clustering method
- markov chain
- support vector
- feature extraction
- graph structures