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186
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ICML
2009
IEEE
16 years 8 months ago
Model-free reinforcement learning as mixture learning
We cast model-free reinforcement learning as the problem of maximizing the likelihood of a probabilistic mixture model via sampling, addressing both the infinite and finite horizo...
Nikos Vlassis, Marc Toussaint
218
Voted
CCR
2006
122views more  CCR 2006»
15 years 7 months ago
Low complexity, stable scheduling algorithms for networks of input queued switches with no or very low speed-up
The delay and throughput characteristics of a packet switch depend mainly on the queueing scheme and the scheduling algorithm deployed at the switch. Early research on scheduling ...
Claus Bauer
182
Voted
ASPLOS
2006
ACM
16 years 1 months ago
A spatial path scheduling algorithm for EDGE architectures
Growing on-chip wire delays are motivating architectural features that expose on-chip communication to the compiler. EDGE architectures are one example of communication-exposed mi...
Katherine E. Coons, Xia Chen, Doug Burger, Kathryn...
226
Voted
SIGIR
2008
ACM
15 years 7 months ago
On iterative intelligent medical search
Searching for medical information on the Web has become highly popular, but it remains a challenging task because searchers are often uncertain about their exact medical situation...
Gang Luo, Chunqiang Tang
246
Voted
ANCS
2008
ACM
15 years 9 months ago
On design of bandwidth scheduling algorithms for multiple data transfers in dedicated networks
The significance of high-performance dedicated networks has been well recognized due to the rapidly increasing number of large-scale applications that require high-speed data tran...
Yunyue Lin, Qishi Wu