Stanford CS234: Reinforcement Learning - Winter 2019

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60 Cursos


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Resumen

Explora la vanguardia de la inteligencia artificial con CS234: Aprendizaje por Refuerzo de la Universidad de Stanford (Invierno 2019), ahora disponible en YouTube. Este curso integral profundiza en los principios fundamentales del aprendizaje por refuerzo, diseñado para aquellos ansiosos por comprender los últimos avances en IA. Los temas tratados incluyen una introducción al aprendizaje por refuerzo, modelado del mundo, evaluación y control de políticas sin modelo, aproximación de la función de valor, aprovechamiento de redes neuronales convolucionales y aprendizaje profundo Q, imitación y gradientes de política, junto con aplicaciones. Sumérgete en áreas más avanzadas como el aprendizaje por refuerzo rápido, el aprendizaje por refuerzo por lotes y la búsqueda del árbol de Monte Carlo. Al concluir este curso, los participantes habrán desarrollado una comprensión profunda del aprendizaje por refuerzo, su importancia y sus aplicaciones en el mundo real. Inscríbete ahora y únete a la comunidad que explora este crítico frente en Inteligencia Artificial, Aprendizaje Automático y Cursos de Aprendizaje por Refuerzo.

Programa de estudio


Enseñado por

Stanford Online


Etiquetas

united states

provider YouTube

YouTube

34 Cursos


YouTube

pricing Free Online Course
language English
duration 19 hours
sessions On-Demand