345 citations · 643 across the 16 of their papers we have counts for
4 papers · 2 filters
Restricted Value Iteration: Theory and Algorithms
N. L. Zhang, W. Zhang
Value iteration is a popular algorithm for finding near optimal policies for POMDPs. It is inefficient due to the need to account for the entire belief space, which necessitates th…
Effective Dimensions of Hierarchical Latent Class Models
T. Kocka, N. L. Zhang
Hierarchical latent class (HLC) models are tree-structured Bayesian networks where leaf nodes are observed while internal nodes are latent. There are no theoretically well justifie…
Exploiting Contextual Independence In Probabilistic Inference
D. Poole, N. L. Zhang
Bayesian belief networks have grown to prominence because they provide compact representations for many problems for which probabilistic inference is appropriate, and there are alg…
Speeding Up the Convergence of Value Iteration in Partially Observable Markov Decision Processes
N. L. Zhang, W. Zhang
Partially observable Markov decision processes (POMDPs) have recently become popular among many AI researchers because they serve as a natural model for planning under uncertainty.…