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» Exploration in Metric State Spaces
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CVPR
2004
IEEE
14 years 9 months ago
Learning Distance Functions for Image Retrieval
Image retrieval critically relies on the distance function used to compare a query image to images in the database. We suggest to learn such distance functions by training binary ...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
ICML
2004
IEEE
14 years 8 months ago
Learning to fly by combining reinforcement learning with behavioural cloning
Reinforcement learning deals with learning optimal or near optimal policies while interacting with the environment. Application domains with many continuous variables are difficul...
Eduardo F. Morales, Claude Sammut
ICMLA
2003
13 years 9 months ago
A Distributed Reinforcement Learning Approach to Pattern Inference in Go
— This paper shows that the distributed representation found in Learning Vector Quantization (LVQ) enables reinforcement learning methods to cope with a large decision search spa...
Myriam Abramson, Harry Wechsler
EOR
2007
158views more  EOR 2007»
13 years 7 months ago
A graph-based hyper-heuristic for educational timetabling problems
This paper presents an investigation of a simple generic hyper-heuristic approach upon a set of widely used constructive heuristics (graph coloring heuristics) in timetabling. Wit...
Edmund K. Burke, Barry McCollum, Amnon Meisels, Sa...
HCI
2009
13 years 5 months ago
Acquiring a Physical World and Serving Its Mirror World Simultaneously
A mirror world, which is a virtual space modeling a physical space, attracts enormous interests from VR community recently. Various applications such as Second Life, Google Earth a...
Sengpyo Hong, Jong-gil Ahn, Heedong Ko, Jinwook Ki...