591 search results - page 41 / 119 » Learning and optimization using the clonal selection princip... |
120
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GECCO
2006
Springer
15 years 5 months ago
2006
Springer
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...
116
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ROBOCUP
2005
Springer
15 years 7 months ago
2005
Springer
Abstract. Coordination graphs offer a tractable framework for cooperative multiagent decision making by decomposing the global payoff function into a sum of local terms. Each age...
CEC
2005
IEEE
15 years 7 months ago
2005
IEEE
Co-evolutionary algorithms (CEAs) have been applied to optimization and machine learning problems with often mediocre results. One of the causes for the unfulfilled expectations i...
114
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FGR
2008
IEEE
15 years 8 months ago
2008
IEEE
Many facial image analysis methods rely on learningbased techniques such as Adaboost or SVMs to project classifiers based on the selection of local image filters (e.g., Haar and...
134
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ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
Trajectory planning and optimization is a fundamental problem in articulated robotics. Algorithms used typically for this problem compute optimal trajectories from scratch in a ne...