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GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
15 years 8 months ago
Robot gaits evolved by combining genetic algorithms and binary hill climbing
In this paper an evolutionary algorithm is used for evolving gaits in a walking biped robot controller. The focus is fast learning in a real-time environment. An incremental appro...
Lena Mariann Garder, Mats Erling Høvin
CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
14 years 11 months ago
Adaptive bases for Q-learning
Abstract-- We consider reinforcement learning, and in particular, the Q-learning algorithm in large state and action spaces. In order to cope with the size of the spaces, a functio...
Dotan Di Castro, Shie Mannor
GECCO
2007
Springer
137views Optimization» more  GECCO 2007»
15 years 10 months ago
Extended probe method for linkage discovery over high-cardinality alphabets
The work addresses the problem of identifying the epistatic linkage of a function from high cardinality alphabets to the real numbers. It is a generalization of Heckendorn and Wri...
Shude Zhou, Zengqi Sun, Robert B. Heckendorn
INFOCOM
2002
IEEE
15 years 9 months ago
TCP Network Calculus: The case of large delay-bandwidth product
Abstract— We present in this paper an analytical model for the calculation of network load and drop probabilities in a TCP/IP network with general topology. First we formulate ou...
Eitan Altman, Konstantin Avrachenkov, Chadi Baraka...
EUROGP
2000
Springer
115views Optimization» more  EUROGP 2000»
15 years 8 months ago
Evolution of a Controller with a Free Variable Using Genetic Programming
A mathematical formula containing one or more free variables is "general" in the sense that it provides a solution to an entire category of problems. For example, the fa...
John R. Koza, Jessen Yu, Martin A. Keane, William ...