Reinforcement Learning : An Introduction /
Contiene: I. El problema: 1) Introducción; 2) Retroaliemntación evaluativa; 3) El problema del aprendizaje por refuerzo. II. Métodos de solución elementales: 4) Programación dinámica; 5) Método de Montecarlo; 6) Aprendizaje temporal-diferencia. III. Vista unificada: 7) Rastros de elegibilidad; 8) Ge...
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| Outros autores: | |
| Formato: | Libro |
| Idioma: | inglés |
| Publicado: |
Cambridge, EUA :
Massachusetts Institute of Technology,
1998, c1998
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| Series: | (Adaptative Computation and Machine Learning)
(A Bradford Book) |
| Temas: | |
| Etiquetas: |
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