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FLAIRS
1998
15 years 3 months ago
Optimizing Production Manufacturing Using Reinforcement Learning
Manyindustrial processes involve makingparts with an assemblyof machines, where each machinecarries out an operation on a part, and the finished product requires a wholeseries of ...
Sridhar Mahadevan, Georgios Theocharous
PEPM
2007
ACM
15 years 8 months ago
Lowering: a static optimization technique for transparent functional reactivity
Functional Reactive Programming (frp) extends traditional functional programming with dataflow evaluation, making it possible to write interactive programs in a declarative style...
Kimberley Burchett, Gregory H. Cooper, Shriram Kri...
ICML
1998
IEEE
16 years 2 months ago
Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions
This paper introduces a new algorithm, Q2, foroptimizingthe expected output ofamultiinput noisy continuous function. Q2 is designed to need only a few experiments, it avoids stron...
Andrew W. Moore, Jeff G. Schneider, Justin A. Boya...
FOIKS
2008
Springer
15 years 11 months ago
Cost-minimising strategies for data labelling : optimal stopping and active learning
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
Christos Dimitrakakis, Christian Savu-Krohn
ATAL
2006
Springer
15 years 5 months ago
Multi-robot learning with particle swarm optimization
We apply an adapted version of Particle Swarm Optimization to distributed unsupervised robotic learning in groups of robots with only local information. The performance of the lea...
Jim Pugh, Alcherio Martinoli