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» Optimizing interconnection policies
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162
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MONET
2002
155views more  MONET 2002»
15 years 3 months ago
A Prioritized Real-Time Wireless Call Degradation Framework for Optimal Call Mix Selection
This paper describes a framework for selecting the optimal call mix to be admitted while employing a bandwidth degradation policy in a wireless cellular network. The optimal proper...
Gergely V. Záruba, Imrich Chlamtac, Sajal K...
140
Voted
ICML
2010
IEEE
15 years 4 months ago
Inverse Optimal Control with Linearly-Solvable MDPs
We present new algorithms for inverse optimal control (or inverse reinforcement learning, IRL) within the framework of linearlysolvable MDPs (LMDPs). Unlike most prior IRL algorit...
Dvijotham Krishnamurthy, Emanuel Todorov
SMC
2007
IEEE
102views Control Systems» more  SMC 2007»
15 years 10 months ago
An improved immune Q-learning algorithm
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...
132
Voted
GECCO
2006
Springer
191views Optimization» more  GECCO 2006»
15 years 7 months ago
Automating the drug scheduling with different toxicity clearance in cancer chemotherapy via evolutionary computation
The toxicity of an anticancer drug is cleared from the body by different processes, including saturable metabolic and nonsaturable renal-excretion pathways. According to the princ...
Yong Liang, Kwong-Sak Leung, Tony Shu Kam Mok
JCP
2008
101views more  JCP 2008»
15 years 3 months ago
Reliability Design for Large Scale Data Warehouses
Data reliability has been drawn much concern in large-scale data warehouses with 1PB or more data. It highly depends on many inter-dependent system parameters, such as the replica ...
Kai Du, Zhengbing Hu, Huaimin Wang, Yingwen Chen, ...