Integrating value-directed compression and belief space analysis for POMDP decomposition

Keyphrases

• Partially Observable Markov Decision Process 100%
• Belief Space 100%
• Belief State 100%
• Process Decomposition 100%
• Space Analysis 100%
• Optimal Policy 50%
• Computational Complexity 25%
• Dimensionality Reduction 25%
• High Dimension 25%
• Low Computational Complexity 25%
• Curse of Dimensionality 25%
• Non-negative Matrix Factorization 25%
• Stochastic Environment 25%
• Planning Problem 25%
• Large-scale Problems 25%
• Belief Compression 25%
• Navigation Problem 25%
• Dimensionality Problem 25%
• Disjoint Partition 25%
• Compression Techniques 25%
• Value Iteration 25%

Mathematics

• Partially Observable Markov Decision Process 100%
• Belief State 100%
• Optimal Policy 40%
• Clustering 20%
• Matrix (Mathematics) 20%
• Stochastics 20%
• Computational Cost 20%
• Factorization 20%
• Curse of Dimensionality 20%
• Higher Dimensions 20%
• Scale Problem 20%

Engineering

• Partially Observable Markov Decision Process 100%
• Optimal Policy 50%
• Dimensionality 25%
• Computational Cost 25%
• Computational Complexity 25%
• Matrix Factorization 25%
• Iteration Algorithm 25%
• Scale Problem 25%
• Compression Technique 25%