Crash Course Artificial Intelligence - Season 1 Episode 9 Reinforcement Learning
Reinforcement learning is particularly useful in situations where we want to train AIs to have certain skills we don’t fully understand ourselves. Unlike some of the techniques we’ve discussed so far, reinforcement learning generally only looks at how an AI performs a task AFTER it has completed it. And when an AI completes that task figuring out when and how to reward an AI, called credit assignment, is one of the hardest parts of reinforcement learning. So today, we’re going to explore these ideas, introduce a ton of new terms like value, policy, agent, environment, actions, and states and we’ll show you how we can use strategies like exploration and exploitation to train John Green Bot to find things more efficiently next time.
Year: 2019
Genre:
Country:
Studio:
Director:
Cast: Jabril Ashe
Crew: John Green (Executive Producer), Hank Green (Executive Producer)
First Air Date: Aug 09, 2019
Last Air date: Dec 27, 2019
Season: 1 Season
Episode: 20 Episode
Runtime: 26 minutes
IMDb: 0.00/10 by 0.00 users
Popularity: 0.346
Language: English
Keyword :
Episode
What Is Artificial Intelligence?
Supervised Learning
Neural Networks and Deep Learning
Training Neural Networks
How to make an AI read your handwriting (LAB)
Unsupervised Learning
Natural Language Processing
Make an AI sound like a YouTuber (LAB)
Reinforcement Learning
Symbolic AI
Robotics
AI Playing Games
Let's make an AI that destroys video games
Humans and AI working together
How YouTube knows what you should watch
Let’s make a movie recommendation system
Web Search
Algorithmic Bias and Fairness
Cats Vs Dogs? Let's make an AI to settle this
The Future of Artificial Intelligence
Similar Movies
Recomendation Movies
