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» Controlling Model Complexity in Flow Estimation
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JMLR
2010
148views more  JMLR 2010»
13 years 3 months ago
A Generalized Path Integral Control Approach to Reinforcement Learning
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
Evangelos Theodorou, Jonas Buchli, Stefan Schaal
ENVSOFT
2006
102views more  ENVSOFT 2006»
13 years 8 months ago
Gas exploration beyond the shelf break: An oceanographic challenge
Norway's second largest gas field, Ormen Lange, is located 140 km west off Kristiansund at an unprecedented depth when it comes to exploration. It will be the first Norwegian...
Ø. Thiem, J. Berntsen, T. Eldevik, G. Alend...
GECCO
2006
Springer
151views Optimization» more  GECCO 2006»
14 years 4 days ago
Sporadic model building for efficiency enhancement of hierarchical BOA
This paper describes and analyzes sporadic model building, which can be used to enhance the efficiency of the hierarchical Bayesian optimization algorithm (hBOA) and other advance...
Martin Pelikan, Kumara Sastry, David E. Goldberg
CBSE
2005
Springer
14 years 2 months ago
Performance Prediction of J2EE Applications Using Messaging Protocols
Abstract. Predicting the performance of component-based applications is difficult due to the complexity of the underlying component technology. This problem is exacerbated when a m...
Yan Liu, Ian Gorton
CASES
2008
ACM
13 years 10 months ago
Multi-granularity sampling for simulating concurrent heterogeneous applications
Detailed or cycle-accurate/bit-accurate (CABA) simulation is a critical phase in the design flow of embedded systems. However, with increasing system complexity, full detailed sim...
Melhem Tawk, Khaled Z. Ibrahim, Smaïl Niar