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» Using model knowledge for learning inverse dynamics
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122
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CVPR
1998
IEEE
16 years 4 months ago
Background Modeling for Segmentation of Video-Rate Stereo Sequences
Stereo sequences promise to be a powerful method for segmenting images for applications such as tracking human figures. We present a method of statistical background modeling for ...
Christopher K. Eveland, Kurt Konolige, Robert C. B...
EPIA
2003
Springer
15 years 7 months ago
Model for Dialogue between Informational Agents
Abstract. A theoretical model for agents interaction to study semantic heterogeneity is proposed. The context of this study is informational agents with knowledge bases that are he...
Erika Valencia, Jean-Paul Sansonnet
126
Voted
ACL
2012
13 years 5 months ago
Learning High-Level Planning from Text
Comprehending action preconditions and effects is an essential step in modeling the dynamics of the world. In this paper, we express the semantics of precondition relations extrac...
S. R. K. Branavan, Nate Kushman, Tao Lei, Regina B...
251
Voted
AAAI
2012
13 years 5 months ago
Learning from Demonstration for Goal-Driven Autonomy
Goal-driven autonomy (GDA) is a conceptual model for creating an autonomous agent that monitors a set of expectations during plan execution, detects when discrepancies occur, buil...
Ben George Weber, Michael Mateas, Arnav Jhala
149
Voted
ROBOCUP
2007
Springer
99views Robotics» more  ROBOCUP 2007»
15 years 8 months ago
Instance-Based Action Models for Fast Action Planning
Abstract. Two main challenges of robot action planning in real domains are uncertain action effects and dynamic environments. In this paper, an instance-based action model is lear...
Mazda Ahmadi, Peter Stone