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GECCO
2008
Springer
123views Optimization» more  GECCO 2008»
15 years 2 months ago
Hierarchical evolution of linear regressors
We propose an algorithm for function approximation that evolves a set of hierarchical piece-wise linear regressors. The algorithm, named HIRE-Lin, follows the iterative rule learn...
Francesc Teixidó-Navarro, Albert Orriols-Pu...
ICML
1996
IEEE
15 years 5 months ago
A Convergent Reinforcement Learning Algorithm in the Continuous Case: The Finite-Element Reinforcement Learning
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
Rémi Munos
BMCBI
2007
160views more  BMCBI 2007»
15 years 1 months ago
Convergent algorithms for protein structural alignment
Background: Many algorithms exist for protein structural alignment, based on internal protein coordinates or on explicit superposition of the structures. These methods are usually...
Leandro Martínez, Roberto Andreani, Jos&eac...
CORR
2010
Springer
152views Education» more  CORR 2010»
15 years 1 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná
FSTTCS
2010
Springer
14 years 11 months ago
Combinatorial Problems with Discounted Price Functions in Multi-agent Systems
ABSTRACT. Motivated by economic thought, a recent research agenda has suggested the algorithmic study of combinatorial optimization problems under functions which satisfy the prope...
Gagan Goel, Pushkar Tripathi, Lei Wang