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» Learning executable agent behaviors from observation
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AAAI
2006
14 years 11 months ago
Learning Partially Observable Action Schemas
We present an algorithm that derives actions' effects and preconditions in partially observable, relational domains. Our algorithm has two unique features: an expressive rela...
Dafna Shahaf, Eyal Amir
AAAI
2011
13 years 9 months ago
Learning Accuracy and Availability of Humans Who Help Mobile Robots
When mobile robots perform tasks in environments with humans, it seems appropriate for the robots to rely on such humans for help instead of dedicated human oracles or supervisors...
Stephanie Rosenthal, Manuela M. Veloso, Anind K. D...
96
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AGENTS
1998
Springer
15 years 1 months ago
Learning Situation-Dependent Costs: Improving Planning from Probabilistic Robot Execution
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
Karen Zita Haigh, Manuela M. Veloso
CISIS
2010
IEEE
15 years 4 months ago
On a Journey from Message to Observable Pervasive Application
—Bringing together heterogeneous computing devices and appliances gives rise to a spontaneous environment where resources exchange messages, such as a mobile phone telling the ca...
Geert Vanderhulst, Kris Luyten, Karin Coninx
ENTCS
2008
122views more  ENTCS 2008»
14 years 9 months ago
Concurrency in Biological Modeling: Behavior, Execution and Visualization
Modeling natural systems is a complicated task that involves the concurrent behavior of various processes, mechanisms and objects. Here, we describe an approach that we have been ...
David Harel, Yaki Setty, Sol Efroni, Naamah Swerdl...