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Reinforcement Learning

Catégories

Niveau des connaissances préalables requises en IA: Aucune connaissance préalable

resource__res_eias_ia_level: Plus de 6 heures

Niveau des connaissances préalables requises en santé: Connaissances intermédiaires

Langue: Anglais

Accessibilité: Accès et certification gratuit

École de l'intelligence artificielle en santé du CHUM

You should take this course if you have an interest in machine learning and the desire to engage with it from a theoretical perspective. Through a combination of classic papers and more recent work, you will explore automated decision-making from a computer-science perspective. You will examine efficient algorithms, where they exist, for single-agent and multi-agent planning as well as approaches to learning near-optimal decisions from experience. At the end of the course, you will replicate a result from a published paper in reinforcement learning.

https://www.my-mooc.com/en/mooc/reinforcement-learning--ud600/