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» Learning Behavior Models for Hybrid Timed Systems
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ICML
2009
IEEE
16 years 5 months ago
Robot trajectory optimization using approximate inference
The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...
Marc Toussaint
EUC
2005
Springer
15 years 10 months ago
Ubiquitous Learning on Pocket SCORM
With advanced technologies, computer devices have become smaller and powerful. As a result, many people enjoy ubiquitous learning using mobile devices such as Pocket PCs. Pocket PC...
Hsuan-Pu Chang, Wen-Chih Chang, Yun-Long Sie, Nige...
ICML
2003
IEEE
15 years 9 months ago
The Influence of Reward on the Speed of Reinforcement Learning: An Analysis of Shaping
Shaping can be an effective method for improving the learning rate in reinforcement systems. Previously, shaping has been heuristically motivated and implemented. We provide a for...
Adam Laud, Gerald DeJong
BMCBI
2008
160views more  BMCBI 2008»
15 years 4 months ago
Dynamic sensitivity analysis of biological systems
Background: A mathematical model to understand, predict, control, or even design a real biological system is a central theme in systems biology. A dynamic biological system is alw...
Wu Hsiung Wu, Feng Sheng Wang, Maw Shang Chang
HICSS
2009
IEEE
122views Biometrics» more  HICSS 2009»
15 years 11 months ago
Impacts of Organizational Learning and Knowledge Transfer on Investment Decisions under Uncertainty
Investments in innovative technologies face uncertainties and are often made in stages. We develop a multi-period game-theoretical model where the potential of a new technology is...
Xianjun Geng, Lihui Lin, Andrew B. Whinston