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ATAL
2005
Springer
13 years 10 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
SIGMOD
2012
ACM
232views Database» more  SIGMOD 2012»
11 years 7 months ago
Large-scale machine learning at twitter
The success of data-driven solutions to difficult problems, along with the dropping costs of storing and processing massive amounts of data, has led to growing interest in largesc...
Jimmy Lin, Alek Kolcz
RV
2007
Springer
130views Hardware» more  RV 2007»
13 years 11 months ago
Statistical Runtime Checking of Probabilistic Properties
Probabilistic correctness is another important aspect of reliable systems. A soft real-time system, for instance, exhibits probabilistic behaviors from tolerating some degrees of ...
Usa Sammapun, Insup Lee, Oleg Sokolsky, John Regeh...
DCOSS
2010
Springer
13 years 10 months ago
Halo: Managing Node Rendezvous in Opportunistic Sensor Networks
One vision of an opportunistic sensor network (OSN) uses sensor access points (SAPs) to assign mobile sensors with sensing tasks submitted by applications that could be running any...
Shane B. Eisenman, Hong Lu, Andrew T. Campbell