789 search results - page 86 / 158 » Solving Complex Problems Efficiently with Adaptive Automata |
112
click to vote
CORR
2010
Springer
15 years 3 months ago
2010
Springer
Parallel Global Optimization Algorithms (PGOA) provide an efficient way of dealing with hard optimization problems. One method of parallelization of GOAs that is frequently applie...
117
Voted
ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
147
Voted
LAMAS
2005
Springer
15 years 8 months ago
2005
Springer
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
118
Voted
ATAL
2003
Springer
15 years 8 months ago
2003
Springer
Large systems of agents deployed in a real-world environment face threats to their problem solving performance that are independent of the complexity of the problem or the charact...
124
click to vote
IPPS
2003
IEEE
15 years 8 months ago
2003
IEEE
Oscilloscopes and their cousins, logic analyzers, are the tools of choice for difficult electronic hardware problems. In the hands of a skilled engineer or technician, these tool...