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» The Computational Complexity of Probabilistic Planning
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AIPS
2006
13 years 9 months ago
Combining Knowledge Compilation and Search for Conformant Probabilistic Planning
We present a new algorithm for conformant probabilistic planning, which for a given horizon produces a plan that maximizes the probability of success under quantified uncertainty ...
Jinbo Huang
FLAIRS
2008
13 years 10 months ago
Towards Getting Domain Knowledge: Plans Analysis through Investigation of Actions Dependencies
There are a lot of approaches for solving planning problems. Many of these approaches are based on `brute force` search methods and do not care about structures of plans previousl...
Lukás Chrpa, Roman Barták
SOFSEM
2007
Springer
14 years 1 months ago
Incremental Learning of Planning Operators in Stochastic Domains
In this work we assume that there is an agent in an unknown environment (domain). This agent has some predefined actions and it can perceive its current state in the environment c...
Javad Safaei, Gholamreza Ghassem-Sani
JAIR
2010
145views more  JAIR 2010»
13 years 6 months ago
Planning with Noisy Probabilistic Relational Rules
Noisy probabilistic relational rules are a promising world model representation for several reasons. They are compact and generalize over world instantiations. They are usually in...
Tobias Lang, Marc Toussaint
IPL
2006
99views more  IPL 2006»
13 years 7 months ago
Computational complexity of queries based on itemsets
We investigate determining the exact bounds of the frequencies of conjunctions based on frequent sets. Our scenario is an important special case of some general probabilistic logi...
Nikolaj Tatti