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» Using model knowledge for learning inverse dynamics
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139
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CAEPIA
2003
Springer
15 years 8 months ago
A Document-Oriented Approach to the Development of Knowledge Based Systems
ADDS (Approach to Document-based Development of Software) is an approach to the development of applications based on a document-oriented paradigm. According to this paradigm, appli...
José Luis Sierra, Baltasar Fernández...
165
Voted
ISDA
2010
IEEE
15 years 1 months ago
Intelligent online case-based planning agent model for real-time strategy games
Research in learning and planning in real-time strategy (RTS) games is very interesting in several industries such as military industry, robotics, and most importantly game industr...
Ibrahim Fathy, Mostafa Aref, Omar Enayet, Abdelrah...
134
Voted
IJCAI
2007
15 years 5 months ago
Using Linear Programming for Bayesian Exploration in Markov Decision Processes
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
Pablo Samuel Castro, Doina Precup
179
Voted
ACSAC
2010
IEEE
15 years 1 months ago
Cujo: efficient detection and prevention of drive-by-download attacks
The JavaScript language is a core component of active and dynamic web content in the Internet today. Besides its great success in enhancing web applications, however, JavaScript p...
Konrad Rieck, Tammo Krueger, Andreas Dewald
131
Voted
ML
2010
ACM
151views Machine Learning» more  ML 2010»
15 years 1 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales