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» Complexity of Max-SAT using stochastic algorithms
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AIIA
2007
Springer
15 years 8 months ago
Reinforcement Learning in Complex Environments Through Multiple Adaptive Partitions
The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
Andrea Bonarini, Alessandro Lazaric, Marcello Rest...
SIGMOD
2005
ACM
77views Database» more  SIGMOD 2005»
16 years 2 months ago
On Joining and Caching Stochastic Streams
We consider the problem of joining data streams using limited cache memory, with the goal of producing as many result tuples as possible from the cache. Many cache replacement heu...
Jun Yang 0001, Junyi Xie, Yuguo Chen
EOR
2007
110views more  EOR 2007»
15 years 1 months ago
A hierarchical ant based clustering algorithm and its use in three real-world applications
In this paper is presented a new model for data clustering, which is inspired from the selfassembly behavior of real ants. Real ants can build complex structures by connecting the...
Hanene Azzag, Gilles Venturini, Antoine Oliver, Ch...
EVOW
2001
Springer
15 years 6 months ago
Autonomous Photogrammetric Network Design Using Genetic Algorithms
Abstract. This work describes the use of genetic algorithms for automating the photogrammetric network design process. When planning a photogrammetric network, the cameras should b...
Gustavo Olague
112
Voted
COR
2006
122views more  COR 2006»
15 years 1 months ago
Multiple task assignments for cooperating uninhabited aerial vehicles using genetic algorithms
A problem of assigning cooperating uninhabited aerial vehicles to perform multiple tasks on multiple targets is posed as a new combinatorial optimization problem. A genetic algori...
Tal Shima, Steven J. Rasmussen, Andrew G. Sparks, ...