274 search results - page 14 / 55 » Network reinforcement |
NN
2010
Springer
14 years 4 months ago
2010
Springer
Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...
LCN
2006
IEEE
15 years 3 months ago
2006
IEEE
There is increasing research interest in solving routing problems in sensor networks subject to constraints such as data correlation, link reliability and energy conservation. Sin...
CAMP
2005
IEEE
15 years 3 months ago
2005
IEEE
— For a peer-to-peer (P2P) system holding massive amount of data, an efficient and scalable search for resource sharing is a key determinant to its practical usage. Unstructured...
ICOIN
2004
Springer
15 years 3 months ago
2004
Springer
In this paper, we present a new method to calculate reinforcement value in QoS routing algorithm for real-time multimedia based on Ant algorithm to efficiently and effectively rein...
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ECAL
2001
Springer
15 years 2 months ago
2001
Springer
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...