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» The Computational Complexity of Probabilistic Planning
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CORR
1998
Springer
135views Education» more  CORR 1998»
13 years 4 months ago
The Computational Complexity of Probabilistic Planning
We examine the computational complexity of testing and nding small plans in probabilistic planning domains with both at and propositional representations. The complexity of plan e...
Michael L. Littman, Judy Goldsmith, Martin Mundhen...
ECP
1997
Springer
125views Robotics» more  ECP 1997»
13 years 8 months ago
Possibilistic Planning: Representation and Complexity
A possibilistic approach of planning under uncertainty has been developed recently. It applies to problems in which the initial state is partially known and the actions have graded...
Célia da Costa Pereira, Frédé...
IJCAI
2001
13 years 5 months ago
Complexity of Probabilistic Planning under Average Rewards
A general and expressive model of sequential decision making under uncertainty is provided by the Markov decision processes (MDPs) framework. Complex applications with very large ...
Jussi Rintanen
ICDT
2009
ACM
166views Database» more  ICDT 2009»
14 years 5 months ago
A compositional framework for complex queries over uncertain data
The ability to flexibly compose confidence computation with the operations of relational algebra is an important feature of probabilistic database query languages. Computing confi...
Christoph Koch, Michaela Götz
BIRTHDAY
2005
Springer
13 years 10 months ago
Towards Comprehensive Computational Models for Plan-Based Control of Autonomous Robots
In this paper we present an overview of recent developments in the plan-based control of autonomous robots. We identify computational principles that enable autonomous robots to a...
Michael Beetz