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COR
2008
13 years 8 months ago
2008
In this paper, we provide a study of Max-Min Fair (MMF) multicommodity flows and focus on some of their applications to multi-commodity networks. We first present the theoretical ...
GECCO
2006
Springer
14 years 9 days ago
2006
Springer
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
CORR
2007
Springer
13 years 8 months ago
2007
Springer
— The problem of resource allocation is studied for a two-user fading orthogonal multiaccess relay channel (MARC) where both users (sources) communicate with a destination in the...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
The current framework of reinforcement learning is based on maximizing the expected returns based on scalar rewards. But in many real world situations, tradeoffs must be made amon...
TIT
2010
13 years 3 months ago
2010
We study two building-block models of interference-limited wireless networks, motivated by the problem of joint Peer-to-Peer and Wide Area Network design. In the first case, a sin...