157 citations · 778 across the 15 of their papers we have counts for
Showing 2013 · cs.AIShow all
3 papers · 2 filters
cs.AI2013★ 72 cited
Flexible Decomposition Algorithms for Weakly Coupled Markov Decision Problems
Ron Parr
This paper presents two new approaches to decomposing and solving large Markov decision problems (MDPs), a partial decoupling method and a complete decoupling method. In these appr…
cs.AI2013★ 152 cited
Policy Iteration for Factored MDPs
Daphne Koller, Ron Parr
Many large MDPs can be represented compactly using a dynamic Bayesian network. Although the structure of the value function does not retain the structure of the process, recent wor…
cs.AI2013★ 99 cited
Inference in Hybrid Networks: Theoretical Limits and Practical Algorithms
Uri Lerner, Ron Parr
An important subclass of hybrid Bayesian networks are those that represent Conditional Linear Gaussian (CLG) distributions --- a distribution with a multivariate Gaussian component…