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GECCO
2011
Springer
276views Optimization» more  GECCO 2011»
13 years 8 days ago
Evolution of reward functions for reinforcement learning
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
Scott Niekum, Lee Spector, Andrew G. Barto
ANCS
2010
ACM
13 years 6 months ago
Ensemble routing for datacenter networks
: Ensemble Routing For Datacenter Networks Mike Schlansker, Yoshio Turner, Jean Tourrilhes, Alan Karp HP Laboratories HPL-2010-120 Networks, Ethernet, Multipath, Switching, Fault ...
Mike Schlansker, Yoshio Turner, Jean Tourrilhes, A...
INDIASE
2009
ACM
14 years 3 months ago
Instant multi-tier web applications without tears
We describe how development productivity for multi-tier webbased database ‘forms’ oriented applications can be significantly improved using ‘InstantApps’, an interpretive ...
Gautam Shroff, Puneet Agarwal, Premkumar T. Devanb...
KDD
2012
ACM
166views Data Mining» more  KDD 2012»
11 years 11 months ago
Selecting a characteristic set of reviews
Online reviews provide consumers with valuable information that guides their decisions on a variety of fronts: from entertainment and shopping to medical services. Although the pr...
Theodoros Lappas, Mark Crovella, Evimaria Terzi
GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
14 years 13 days ago
Towards an evolutionary tool for the allocation of supermarket shelf space
In this paper we set the first steps towards the development of a commercially viable tool that uses evolutionary computation to address the Product to Shelf Allocation Problem (P...
Anna Esparcia-Alcázar, Lidia Lluch-Revert, ...