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» Finding Structure in Reinforcement Learning
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94
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CEC
2010
IEEE
14 years 10 months ago
Coordinate System Archive for coevolution
Problems in which some entities interact with each other are common in computational intelligence. This scenario, typical for co-evolving artificial-life agents, learning strategie...
Wojciech Jaskowski, Krzysztof Krawiec
COR
2010
146views more  COR 2010»
14 years 9 months ago
A search space "cartography" for guiding graph coloring heuristics
We present a search space analysis and its application in improving local search algorithms for the graph coloring problem. Using a classical distance measure between colorings, w...
Daniel Cosmin Porumbel, Jin-Kao Hao, Pascale Kuntz
82
Voted
IAAI
2003
14 years 11 months ago
Guided Conversations about Leadership: Mentoring with Movies and Interactive Characters
Think Like a Commander – Excellence in Leadership (TLAC-XL) is an application designed for learning leadership skills both from the experiences of others and through a structure...
Randall W. Hill Jr., Jay Douglas, Andrew Gordon, F...
93
Voted
ICCV
2007
IEEE
15 years 11 months ago
Graph-Cut Transducers for Relevance Feedback in Content Based Image Retrieval
Closing the semantic gap in content based image retrieval (CBIR) basically requires the knowledge of the user's intention which is usually translated into a sequence of quest...
Hichem Sahbi, Jean-Yves Audibert, Renaud Keriven
PLDI
2010
ACM
15 years 7 months ago
Complete Functional Synthesis
Synthesis of program fragments from specifications can make programs easier to write and easier to reason about. To integrate synthesis into programming languages, synthesis algor...
Viktor Kuncak, Mika l Mayer, Ruzica Piskac, Philip...