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ICTAI
1996
IEEE
15 years 8 months ago
Incremental Markov-Model Planning
This paper presents an approach to building plans using partially observable Markov decision processes. The approach begins with a base solution that assumes full observability. T...
Richard Washington
NIPS
2003
15 years 5 months ago
Learning a World Model and Planning with a Self-Organizing, Dynamic Neural System
We present a connectionist architecture that can learn a model of the relations between perceptions and actions and use this model for behavior planning. State representations are...
Marc Toussaint
GRAPHICSINTERFACE
2009
15 years 2 months ago
MR Tent: a place for co-constructing mixed realities in urban planning
This paper describes how mixed reality (MR) technology is applied in the urban renewal process to help mixed groups of stakeholders collaboratively construct, explore and discuss ...
Valérie Maquil, Markus Sareika, Dieter Schm...
CDC
2008
IEEE
125views Control Systems» more  CDC 2008»
15 years 11 months ago
Continuous motion planning for information forecast
— This paper addresses planning of continuous paths for mobile sensors to improve long-term forecast performance. With the information gain defined by the mutual information bet...
Han-Lim Choi, Jonathan P. How
IROS
2006
IEEE
121views Robotics» more  IROS 2006»
15 years 10 months ago
Planning and Acting in Uncertain Environments using Probabilistic Inference
— An important problem in robotics is planning and selecting actions for goal-directed behavior in noisy uncertain environments. The problem is typically addressed within the fra...
Deepak Verma, Rajesh P. N. Rao