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» Iterative Learning Control - Monotonicity and Optimization
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GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
14 years 7 months ago
Uncertainty handling CMA-ES for reinforcement learning
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
Verena Heidrich-Meisner, Christian Igel
DAIS
2008
14 years 11 months ago
Using Object Replication for Building a Dependable Version Control System
Object-oriented technologies are frequently used to design and implement distributed applications. Object replication is a well-established approach to increase the dependability f...
Rüdiger Kapitza, Peter Baumann, Hans P. Reise...
ICRA
2008
IEEE
173views Robotics» more  ICRA 2008»
15 years 4 months ago
Bayesian reinforcement learning in continuous POMDPs with application to robot navigation
— We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...
Stéphane Ross, Brahim Chaib-draa, Joelle Pi...
TMC
2012
13 years 11 days ago
Compressed-Sensing-Enabled Video Streaming for Wireless Multimedia Sensor Networks
—This article1 presents the design of a networked system for joint compression, rate control and error correction of video over resource-constrained embedded devices based on the...
Scott Pudlewski, Arvind Prasanna, Tommaso Melodia
WISE
2002
Springer
15 years 2 months ago
An MDP-based Peer-to-Peer Search Server Network
A distributed search system consists of a large number of autonomous search servers logically connected in a peerto-peer network. Each search server maintains a local index of a c...
Yipeng Shen, Dik Lun Lee