Maximum Likelihood Tensor Decomposition of Markov Decision Process.
Chengzhuo NiMengdi WangPublished in: ISIT (2019)
Keyphrases
- markov decision process
- tensor decomposition
- maximum likelihood
- data representation
- auxiliary information
- state space
- markov decision processes
- high order
- optimal policy
- reinforcement learning
- infinite horizon
- tensor factorization
- em algorithm
- maximum a posteriori
- expectation maximization
- visual data
- gaussian distribution
- low rank
- initial state
- average cost
- transition probabilities
- decomposition algorithm
- data mining
- reward function
- hyperparameters
- optimal control
- information extraction