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NIPS
1994
13 years 9 months ago
Finding Structure in Reinforcement Learning
Reinforcement learning addresses the problem of learning to select actions in order to maximize one's performance inunknownenvironments. Toscale reinforcement learning to com...
Sebastian Thrun, Anton Schwartz
HUC
2003
Springer
14 years 27 days ago
Activity Zones for Context-Aware Computing
Location is a primary cue in many context-aware computing systems, and is often represented as a global coordinate, room number, or a set of Euclidean distances to various landmark...
Kimberle Koile, Konrad Tollmar, David Demirdjian, ...
AAAI
2004
13 years 9 months ago
Learning and Applying Competitive Strategies
Learning reusable sequences can support the development of expertise in many domains, either by improving decisionmaking quality or decreasing execution speed. This paper introduc...
Esther Lock, Susan L. Epstein
PERCOM
2004
ACM
14 years 7 months ago
Modelling and Using Imperfect Context Information
Most recently developed context-aware software applications make unrealistic assumptions about the quality of the available context information, which can lead to inappropriate ac...
Karen Henricksen, Jadwiga Indulska
ICIP
2007
IEEE
14 years 2 months ago
Dominant Sets-Based Action Recognition using Image Sequence Matching
Action recognition is one of the most active research fields in computer vision. In this paper, we propose a novel method for classifying human actions in a series of image seque...
Qingdi Wei, Weiming Hu, Xiaoqin Zhang, Guan Luo