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NECO
2010
103views more  NECO 2010»
13 years 8 months ago
Posterior Weighted Reinforcement Learning with State Uncertainty
Reinforcement learning models generally assume that a stimulus is presented that allows a learner to unambiguously identify the state of nature, and the reward received is drawn f...
Tobias Larsen, David S. Leslie, Edmund J. Collins,...
NOMS
2010
IEEE
172views Communications» more  NOMS 2010»
13 years 8 months ago
ROCS: a remotely provisioned OSGi framework for ambient systems
—One of the challenges of ambient systems lies in providing all the available services of the environment to the ambient devices, even if they do not physically host those servic...
Stéphane Frénot, Noha Ibrahim, Fr&ea...
OOPSLA
2010
Springer
13 years 8 months ago
Cross-language, type-safe, and transparent object sharing for co-located managed runtimes
As software becomes increasingly complex and difficult to analyze, it is more and more common for developers to use high-level, type-safe, object-oriented (OO) programming langua...
Michal Wegiel, Chandra Krintz
OOPSLA
2010
Springer
13 years 8 months ago
Supporting dynamic, third-party code customizations in JavaScript using aspects
Web sites and web browsers have recently evolved into platforms on top of which entire applications are delivered dynamically, mostly as JavaScript source code. This delivery form...
Benjamin S. Lerner, Herman Venter, Dan Grossman
OOPSLA
2010
Springer
13 years 8 months ago
An input-centric paradigm for program dynamic optimizations
Accurately predicting program behaviors (e.g., locality, dependency, method calling frequency) is fundamental for program optimizations and runtime adaptations. Despite decades of...
Kai Tian, Yunlian Jiang, Eddy Z. Zhang, Xipeng She...
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