7342 search results - page 379 / 1469 » Optimal Language Learning |
233
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ICML
2001
IEEE
16 years 8 months ago
2001
IEEE
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...
205
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GECCO
2006
Springer
15 years 11 months ago
2006
Springer
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
162
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CP
2009
Springer
16 years 2 months ago
2009
Springer
Multi-objective optimization is concerned with problems involving multiple measures of performance which should be optimized simultaneously. In this paper, we extend AND/OR Branch-...
160
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WSC
2000
15 years 8 months ago
2000
We propose solving continuous parametric simulation optimizations using a deterministic nonlinear optimization algorithm and sample-path simulations. The optimization problem is w...
237
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ILP
2004
Springer
16 years 24 days ago
2004
Springer
For the last ten years a lot of work has been devoted to propositionalization techniques in relational learning. These techniques change the representation of relational problems t...