Description
Modern Reinforcement Learning: Actor-Critic Agents 2023-8 is a Udemy course taught by Phil Tabor. Language: English; Duration: 10 hours and 21 minutes; 74 lessons.
Modern Reinforcement Learning: Actor-Critic Agents 2023-8 is a course from Udemy. Review the listed course specifications, preview and available download editions on this page before choosing a resource.
What you will learn
- The material covers algorithms.
- The material covers Python and artificial intelligence.
Course specifications
- Publisher
- Udemy
- Instructors
- Phil Tabor
- Language
- English
- Level
- Expert
- Duration
- 10 hours and 21 minutes
- Lecture count
- 74
- Subtitle
- English
- Quality
- 720p
- Edition
- 2023-8
Course topics
View course topics
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Prerequisites
- Prerequisite topics include calculus.
- Prerequisite topics include neural networks.
Pictures
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Introduction video
How to open the files
Extract the files and play the included course media with a compatible player.
Download resources
Choose one edition and keep its parts together. Alternate providers are available when listed.
2023-8 · 720p
Direct downloads
2023-8 · 720p
Archive password
Size
2.65 GB
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