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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
EDO
2006
Springer
15 years 10 months ago
An extensible, lightweight architecture for adaptive J2EE applications
Server applications with adaptive behaviors can adapt their functionality in response to environmental changes, and significantly reduce the on-going costs of system deployment an...
Ian Gorton, Yan Liu, Nihar Trivedi
CCS
2007
ACM
16 years 24 days ago
Incremental adaptation of XPath access control views
Materialized XPath access-control views are commonly used for enforcing access control. When access control rules defining a materialized XML access-control view change, the view...
Padmapriya Ayyagari, Prasenjit Mitra, Dongwon Lee,...
MOBICOM
2006
ACM
16 years 17 days ago
Robust rate adaptation for 802.11 wireless networks
Rate adaptation is a mechanism unspecified by the 802.11 standards, yet critical to the system performance by exploiting the multi-rate capability at the physical layer. In this ...
Starsky H. Y. Wong, Songwu Lu, Hao Yang, Vaduvur B...
ATAL
2007
Springer
16 years 24 days ago
Multiagent learning in adaptive dynamic systems
Classically, an approach to the multiagent policy learning supposed that the agents, via interactions and/or by using preliminary knowledge about the reward functions of all playe...
Andriy Burkov, Brahim Chaib-draa