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GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 1 months ago
On-line evolutionary computation for reinforcement learning in stochastic domains
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
Shimon Whiteson, Peter Stone
GPEM
2007
95views more  GPEM 2007»
14 years 9 months ago
Where is evolutionary computation going? A temporal analysis of the EC community
Studying an evolving complex system and drawing some conclusions from it is an integral part of nature-inspired computing; being a part of that complex system, some insight can als...
Carlos Cotta, Juan Julián Merelo Guerv&oacu...
DMIN
2006
125views Data Mining» more  DMIN 2006»
14 years 11 months ago
Biomedical Hypothesis Generation and Testing by Evolutionary Computation
- Filtering the immense amount of data available electronically over the World Wide Web is an important task of search engines in data mining applications. Users when performing se...
Robert Kozma, Anna L. Buczak
75
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DSN
2006
IEEE
15 years 3 months ago
Automatic Recovery Using Bounded Partially Observable Markov Decision Processes
This paper provides a technique, based on partially observable Markov decision processes (POMDPs), for building automatic recovery controllers to guide distributed system recovery...
Kaustubh R. Joshi, William H. Sanders, Matti A. Hi...
GECCO
2008
Springer
257views Optimization» more  GECCO 2008»
14 years 10 months ago
Rapid evaluation and evolution of neural models using graphics card hardware
This paper compares three common evolutionary algorithms and our modified GA, a Distributed Adaptive Genetic Algorithm (DAGA). The optimal approach is sought to adapt, in near rea...
Thomas F. Clayton, Leena N. Patel, Gareth Leng, Al...