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AUSAI
1999
Springer
14 years 9 days ago
Q-Learning in Continuous State and Action Spaces
Abstract. Q-learning can be used to learn a control policy that maximises a scalar reward through interaction with the environment. Qlearning is commonly applied to problems with d...
Chris Gaskett, David Wettergreen, Alexander Zelins...
SIAMCO
2002
89views more  SIAMCO 2002»
13 years 7 months ago
Convexity in Zero-Sum Differential Games
A new approach to two-player zero-sum differential games with convex-concave cost function is presented. It employs the tools of convex and variational analysis. A necessary and s...
Rafal Goebel
GECCO
2004
Springer
126views Optimization» more  GECCO 2004»
14 years 1 months ago
A Gene Based Adaptive Mutation Strategy for Genetic Algorithms
In this study, a new mechanism that adapts the mutation rate for each locus on the chromosomes, based on feedback obtained from the current population is proposed. Through tests us...
Sima Uyar, Sanem Sariel, Gülsen Eryigit
WWW
2005
ACM
14 years 8 months ago
An adaptive middleware infrastructure for mobile computing
In a mobile environment where mobile applications suffer from the limitation and variation of system resources availability, it is desirable for the applications to adapt their be...
Ronnie Cheung
CONCURRENCY
2006
148views more  CONCURRENCY 2006»
13 years 8 months ago
An adaptive parallel query processing middleware for the Grid
vices provide an important abstract layer on top of heterogeneous components (hardware and software) that take part into a grid environment. In this scenario, applications, like sc...
Vinícius F. V. da Silva, Márcio L. D...