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» Learning and Domain Adaptation
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136
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ATAL
2009
Springer
15 years 10 months ago
Generalized model learning for reinforcement learning in factored domains
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
Todd Hester, Peter Stone
JUCS
2008
180views more  JUCS 2008»
15 years 3 months ago
The APS Framework For Incremental Learning of Software Agents
Abstract: Adaptive behavior and learning are required of software agents in many application domains. At the same time agents are often supposed to be resource-bounded systems, whi...
Damian Dudek
76
Voted
ML
2010
ACM
15 years 2 months ago
A theory of learning from different domains
Shai Ben-David, John Blitzer, Koby Crammer, Alex K...
114
Voted
ACL
2008
15 years 5 months ago
Blog Categorization Exploiting Domain Dictionary and Dynamically Estimated Domains of Unknown Words
This paper presents an approach to text categorization that i) uses no machine learning and ii) reacts on-the-fly to unknown words. These features are important for categorizing B...
Chikara Hashimoto, Sadao Kurohashi
127
Voted
ITICSE
1997
ACM
15 years 8 months ago
A genetic algorithms tutorial tool for numerical function optimisation
The field of Genetic Algorithms has grown into a huge area over the last few years. Genetic Algorithms are adaptive methods, which can be used to solve search and optimisation pro...
Edmund K. Burke, D. B. Varley