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» Learning action effects in partially observable domains
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AAMAS
2004
Springer
13 years 5 months ago
Automated Assistants for Analyzing Team Behaviors
Multi-agent teamwork is critical in a large number of agent applications, including training, education, virtual enterprises and collective robotics. The complex interactions of ag...
Ranjit Nair, Milind Tambe, Stacy Marsella, Taylor ...
ICMCS
2006
IEEE
119views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Video News Shot Labeling Refinement via Shot Rhythm Models
We present a three-step post-processing method for increasing the precision of video shot labels in the domain of television news. First, we demonstrate that news shot sequences c...
John R. Kender, Milind R. Naphade
LCN
2006
IEEE
13 years 11 months ago
ROADNet: A network of SensorNets
As sensor networks become denser and more widely deployed, the potential develops for interconnecting these networks to combine datasets, share technological solutions, and to con...
Todd Hansen, Sameer Tilak, Steve Foley, Kent Lindq...
UAI
2008
13 years 7 months ago
Toward Experiential Utility Elicitation for Interface Customization
User preferences for automated assistance often vary widely, depending on the situation, and quality or presentation of help. Developing effective models to learn individual prefe...
Bowen Hui, Craig Boutilier
ATAL
2003
Springer
13 years 11 months ago
A prototype infrastructure for distributed robot-agent-person teams
Effective coordination of robots, agents and people promises to improve the safety, robustness and quality with which shared goals are achieved by harnessing the highly heterogene...
Paul Scerri, David V. Pynadath, W. Lewis Johnson, ...