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» Iterative Learning Control - Monotonicity and Optimization
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GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
15 years 4 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
15 years 7 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»
16 years 19 days 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 8 months 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 11 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