134 search results - page 13 / 27 » An Optimal Rebuilding Strategy for an Incremental Tree Probl... |
105
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CIMCA
2008
IEEE
15 years 5 months ago
2008
IEEE
Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...
106
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GECCO
2006
Springer
15 years 2 months ago
2006
Springer
In some cases, evolutionary algorithms represent individuals as typical binary trees with n leaves and n-1 internal nodes. When designing a crossover operator for a particular rep...
ECAI
2004
Springer
15 years 4 months ago
2004
Springer
In the past, Markov Decision Processes (MDPs) have become a standard for solving problems of sequential decision under uncertainty. The usual request in this framework is the compu...
131
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ECML
2006
Springer
15 years 2 months ago
2006
Springer
We target the problem of closed-loop learning of control policies that map visual percepts to continuous actions. Our algorithm, called Reinforcement Learning of Joint Classes (RLJ...
GECCO
2007
Springer
15 years 5 months ago
2007
Springer
Credit institutions are seldom faced with problems dealing with single objectives. Often, decisions involving optimizing two or more competing goals simultaneously need to be made...