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AAAI
2010
13 years 9 months ago
To Max or Not to Max: Online Learning for Speeding Up Optimal Planning
It is well known that there cannot be a single "best" heuristic for optimal planning in general. One way of overcoming this is by combining admissible heuristics (e.g. b...
Carmel Domshlak, Erez Karpas, Shaul Markovitch
CVPR
2007
IEEE
14 years 2 months ago
EDA Approach for Model Based Localization and Recognition of Vehicles
We address the problem of model based recognition. Our aim is to localize and recognize road vehicles from monocular images in calibrated scenes. A deformable 3D geometric vehicle...
Zhaoxiang Zhang, Weishan Dong, Kaiqi Huang, Tieniu...
IJCAI
2007
13 years 9 months ago
Constraint Partitioning for Solving Planning Problems with Trajectory Constraints and Goal Preferences
The PDDL3 specifications include soft goals and trajectory constraints for distinguishing highquality plans among the many feasible plans in a solution space. To reduce the compl...
Chih-Wei Hsu, Benjamin W. Wah, Ruoyun Huang, Yixin...
AIED
2011
Springer
12 years 11 months ago
Faster Teaching by POMDP Planning
Both human and automated tutors must infer what a student knows and plan future actions to maximize learning. Though substantial research has been done on tracking and modeling stu...
Anna N. Rafferty, Emma Brunskill, Thomas L. Griffi...
HRI
2006
ACM
14 years 1 months ago
How may I serve you?: a robot companion approaching a seated person in a helping context
This paper presents the combined results of two studies that investigated how a robot should best approach and place itself relative to a seated human subject. Two live Human Robo...
Kerstin Dautenhahn, Michael L. Walters, Sarah Wood...