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GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 9 months ago
On-line evolutionary computation for reinforcement learning in stochastic domains
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...
Shimon Whiteson, Peter Stone
DAGSTUHL
2006
15 years 6 months ago
Decentralization and Mechanism Design for Online Machine Scheduling
We study the online version of the classical parallel machine scheduling problem to minimize the total weighted completion time from a new perspective: We assume that the data of ...
Birgit Heydenreich, Rudolf Müller, Marc Uetz
ICASSP
2011
IEEE
14 years 9 months ago
Multi-cue based multi-target tracking using online random forests
Discriminative tracking has become popular tracking methods due to their descriptive power for foreground/background separation. Among these methods, online random forest is recen...
Xinchu Shi, Xiaoqin Zhang, Yang Liu, Weiming Hu, H...
AEI
1999
110views more  AEI 1999»
15 years 5 months ago
Self-tuning fuzzy controller design using genetic optimisation and neural network modelling
This article describes a new adaptive fuzzy logic control scheme. The proposed scheme is based on the structure of the self-tuning regulator and employs neural network and genetic...
Duc Truong Pham, Dervis Karaboga
COLT
2010
Springer
15 years 3 months ago
Hedging Structured Concepts
We develop an online algorithm called Component Hedge for learning structured concept classes when the loss of a structured concept sums over its components. Example classes inclu...
Wouter M. Koolen, Manfred K. Warmuth, Jyrki Kivine...