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ATAL
2006
Springer
13 years 12 months ago
A hierarchical approach to efficient reinforcement learning in deterministic domains
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...
AIIDE
2009
13 years 9 months ago
Examining Extended Dynamic Scripting in a Tactical Game Framework
Dynamic scripting is a reinforcement learning algorithm designed specifically to learn appropriate tactics for an agent in a modern computer game, such as Neverwinter Nights. This...
Jeremy Ludwig, Arthur Farley
OPODIS
2010
13 years 6 months ago
On Best-Effort Utility Accrual Real-Time Scheduling on Multiprocessors
We consider the problem of scheduling dependent real-time tasks for overloads on a multiprocessor system, yielding best-effort timing assurance. The application/scheduling model in...
Piyush Garyali, Matthew Dellinger, Binoy Ravindran
PAMI
2010
162views more  PAMI 2010»
13 years 3 months ago
Differential Earth Mover's Distance with Its Applications to Visual Tracking
The Earth Mover's Distance (EMD) is a similarity measure that captures perceptual difference between two distributions. Its computational complexity, however, prevents a direc...
Qi Zhao, Zhi Yang, Hai Tao
DAGSTUHL
2010
13 years 9 months ago
Patient-Specific Mappings between Myocardial and Coronary Anatomy
The segmentation of the myocardium based on the 17-segment model as recommended by the American Heart Association is widely used in medical practice. The patient-specific coronary...
Maurice Termeer, Javier Oliván Bescó...