45 citations · 213 across the 48 of their papers we have counts for
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cs.AI2016
A Programming Language With a POMDP Inside
Christopher H. Lin, Mausam, Daniel S. Weld
We present POAPS, a novel planning system for defining Partially Observable Markov Decision Processes (POMDPs) that abstracts away from POMDP details for the benefit of non-expert…
cs.AI2016★ 5 cited
Contextual Symmetries in Probabilistic Graphical Models
Ankit Anand, Aditya Grover, Mausam +1
An important approach for efficient inference in probabilistic graphical models exploits symmetries among objects in the domain. Symmetric variables (states) are collapsed into met…