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KCAP
2005
ACM
16 years 6 days ago
Knowledge transfer via advice taking
We present a framework for knowledge transfer from one reinforcement learning task to a related task through advicetaking mechanisms. We discuss the importance of transfer in comp...
Lisa Torrey, Trevor Walker, Jude W. Shavlik, Richa...
GCC
2005
Springer
16 years 4 days ago
Dynamic Models of Knowledge in Virtual Organizations
The dynamics of knowledge is important for virtual organizations (VOs) knowledge management (KM) to improve the fast response capabilities and flexible problem solving capabilities...
Yan Ren, Xueshan Luo
ICCBR
2005
Springer
16 years 4 days ago
CBR for State Value Function Approximation in Reinforcement Learning
CBR is one of the techniques that can be applied to the task of approximating a function over high-dimensional, continuous spaces. In Reinforcement Learning systems a learning agen...
Thomas Gabel, Martin A. Riedmiller
ACMSE
2004
ACM
16 years 2 days ago
Security for fixed sensor networks
Sensor networks consist of resource-constrained sensors operating in a variety of environments. Given the severe constraints on these sensors, it is a particularly challenging pro...
Ning Hu, Randy K. Smith, Phillip G. Bradford
ADVIS
2004
Springer
16 years 1 days ago
Integrating Distributed Composite Objects into Java Environment
This paper introduces a new programming model for distributed systems, distributed composite objects (DCO), to meet efficient implementation, transparency, and performance demands ...
Guray Yilmaz, Nadia Erdogan