Paper Info
Title
A Conformant Planner with Explicit Disjunctive Representation of Belief States
Abstract
This paper describes a novel and competitive complete con- formant planner. Key to the enhanced performance is an effi- cient encoding of belief states as disjunctive normal form for- mulae and an efficient procedure for computing the successor belief state. We provide experimental comparative evaluation on a large pool of benchmarks. The novel design provides great efficiency and enhanced scalability, along with the intu- itive structure of disjunctive normal form representations.
Year
Venue
Keywords
2009
ICAPS
disjunctive normal form,incomplete information
Field
DocType
Citations 
Mathematical optimization,Successor cardinal,Computer science,Disjunctive normal form,Planner,Complete information,Scalability,Encoding (memory)
Conference
17
PageRank 
References 
Authors
0.88
11
3
Name
Order
Citations
PageRank
Son Thanh To1696.59
Enrico Pontelli21901181.26
Tran Cao Son31795169.42