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» Learning action effects in partially observable domains
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ECAI
2010
Springer
14 years 10 months ago
Compiling Uncertainty Away in Non-Deterministic Conformant Planning
It has been shown recently that deterministic conformant planning problems can be translated into classical problems that can be solved by off-the-shelf classical planners. In this...
Alexandre Albore, Héctor Palacios, Hector G...
BMCBI
2010
105views more  BMCBI 2010»
14 years 9 months ago
Predicting phenotypic traits of prokaryotes from protein domain frequencies
Background: Establishing the relationship between an organism's genome sequence and its phenotype is a fundamental challenge that remains largely unsolved. Accurately predict...
Thomas Lingner, Stefanie Mühlhausen, Toni Gab...
ECML
2003
Springer
15 years 2 months ago
Pairwise Preference Learning and Ranking
We consider supervised learning of a ranking function, which is a mapping from instances to total orders over a set of labels (options). The training information consists of exampl...
Johannes Fürnkranz, Eyke Hüllermeier
AI
2006
Springer
15 years 1 months ago
Satisfaction Equilibrium: Achieving Cooperation in Incomplete Information Games
So far, most equilibrium concepts in game theory require that the rewards and actions of the other agents are known and/or observed by all agents. However, in real life problems, a...
Stéphane Ross, Brahim Chaib-draa
ATAL
2004
Springer
15 years 3 months ago
Communication for Improving Policy Computation in Distributed POMDPs
Distributed Partially Observable Markov Decision Problems (POMDPs) are emerging as a popular approach for modeling multiagent teamwork where a group of agents work together to joi...
Ranjit Nair, Milind Tambe, Maayan Roth, Makoto Yok...