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» Learning action effects in partially observable domains
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AAAI
2010
14 years 11 months ago
Probabilistic Plan Recognition Using Off-the-Shelf Classical Planners
Plan recognition is the problem of inferring the goals and plans of an agent after observing its behavior. Recently, it has been shown that this problem can be solved efficiently,...
Miquel Ramírez, Hector Geffner
IJCAI
2003
14 years 11 months ago
In Defense of PDDL Axioms
There is controversy as to whether explicit support for PDDL-like axioms and derived predicates is needed for planners to handle real-world domains effectively. Many researchers h...
Sylvie Thiébaux, Jörg Hoffmann, Bernha...
BROADNETS
2007
IEEE
15 years 4 months ago
DIMPLE: DynamIc Membership ProtocoL for epidemic protocols
—Epidemic protocols assume that information of a random set of nodes is provided at each protocol round. By definition, the random set needs to be chosen uniformly and randomly ...
Jin Sun, Paul J. Weber, Byung Kyu Choi, Roger M. K...
AAAI
2007
14 years 12 months ago
Optimizing Anthrax Outbreak Detection Using Reinforcement Learning
The potentially catastrophic impact of a bioterrorist attack makes developing effective detection methods essential for public health. In the case of anthrax attack, a delay of ho...
Masoumeh T. Izadi, David L. Buckeridge
ICRA
2007
IEEE
167views Robotics» more  ICRA 2007»
15 years 3 months ago
Planar batting under shape, pose, and impact uncertainty
— This paper explores the planning and control of a manipulation task accomplished in conditions of high uncertainty. Statistical techniques, like particle filters, provide a fr...
Jiaxin L. Fu, Siddhartha S. Srinivasa, Nancy S. Po...