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Kernel Recursive Least-Squares Temporal Difference Algorithms with Sparsification and Regularization
By combining with sparse kernel methods, least-squares temporal difference (LSTD) algorithms can construct the feature dictionary automatically and obtain a better generalization ability. However, the previous kernel-based LSTD algorithms do not consider regularization and their sparsification proce...
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| Опубликовано в: : | Comput Intell Neurosci |
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| Главные авторы: | , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Hindawi Publishing Corporation
2016
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4942627/ https://ncbi.nlm.nih.gov/pubmed/27436996 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2016/2305854 |
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