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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Detalles Bibliográficos
Autores principales: Zhang, Chunyuan, Zhu, Qingxin, Niu, Xinzheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4942627/
https://www.ncbi.nlm.nih.gov/pubmed/27436996
http://dx.doi.org/10.1155/2016/2305854

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4942627/
https://www.ncbi.nlm.nih.gov/pubmed/27436996
http://dx.doi.org/10.1155/2016/2305854

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