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» Learning all optimal policies with multiple criteria
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ICML
2007
IEEE
14 years 9 months ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
AAAI
2010
13 years 10 months ago
Reinforcement Learning Via Practice and Critique Advice
We consider the problem of incorporating end-user advice into reinforcement learning (RL). In our setting, the learner alternates between practicing, where learning is based on ac...
Kshitij Judah, Saikat Roy, Alan Fern, Thomas G. Di...
IEEEPACT
2008
IEEE
14 years 2 months ago
Multi-mode energy management for multi-tier server clusters
This paper presents an energy management policy for reconfigurable clusters running a multi-tier application, exploiting DVS together with multiple sleep states. We develop a the...
Tibor Horvath, Kevin Skadron
GLOBECOM
2006
IEEE
14 years 2 months ago
Optimal Routing Between Alternate Paths With Different Network Transit Delays
— We consider the path-determination problem in Internet core routers that distribute flows across alternate paths leading to the same destination. We assume that the remainder ...
Essia Hamouda Elhafsi, Mart Molle
IJDMMM
2008
124views more  IJDMMM 2008»
13 years 8 months ago
Completing missing views for multiple sources of web media
: Combining multiple data sources, each with its own features, to achieve optimal inference has received a lot of attention in recent years. In inference from multiple data sources...
Shankara B. Subramanya, Zheshen Wang, Baoxin Li, H...