Maximum Likelihood Tensor Decomposition of Markov Decision Process

Keyphrases

• Action Features 33%
• Constrained Maximum Likelihood 33%
• Estimation Error 33%
• Estimation Model 33%
• Factor Matrix 33%
• Feature Extraction 33%
• High-dimensional Data 33%
• How to Learn 33%
• Information-theoretic Bounds 33%
• Kullback-Leibler Divergence 33%
• Markov Decision Process 100%
• Maximum Likelihood 100%
• Model Compression 33%
• Model Features 33%
• Model Reduction 33%
• Rank-constrained 33%
• Reduced Model 33%
• Reinforcement Learning 66%
• State Characteristics 33%
• Statistical Upper Bounds 33%
• Tensor Decomposition 100%
• Tensor Rank 33%
• True Model 33%

Mathematics

• Estimated Model 33%
• Higher Dimensions 33%
• Markov Decision Process 100%
• Matrix (Mathematics) 33%
• Maximum Likelihood 100%
• Maximum Likelihood Estimator 33%
• Rank Tensor 33%
• Reduced Model 33%
• Tensor Decomposition 100%
• True Model 33%
• Upper Bound 66%