Stanford CS234: Reinforcement Learning - Winter 2019
YouTube
60 Cours
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Aperçu
Explorez la pointe de l'intelligence artificielle avec l'Université Stanford CS234 : Apprentissage par Renforcement (Hiver 2019), maintenant disponible sur YouTube. Ce cours complet plonge dans les principes fondamentaux de l'apprentissage par renforcement, conçu pour ceux désireux de saisir les dernières avancées en IA. Les sujets abordés comprennent une introduction à l'apprentissage par renforcement, la modélisation du monde, l'évaluation et le contrôle de politique sans modèle, l'approximation de la fonction de valeur, l'exploitation des réseaux de neurones convolutionnels et l'apprentissage profond Q, l'imitation et les gradients de politique, ainsi que des applications. Plongez plus profondément dans des domaines avancés comme l'apprentissage par renforcement rapide, l'apprentissage par renforcement par lots et la recherche d'arbre de Monte Carlo. À l'issue de ce cours, les participants auront développé une compréhension profonde de l'apprentissage par renforcement, de son importance et de ses applications dans le monde réel. Inscrivez-vous maintenant et rejoignez la communauté explorant cette frontière critique dans l'Intelligence Artificielle, l'Apprentissage Automatique, et les Cours d'Apprentissage par Renforcement.