Crash Course Artificial Intelligence - Season 1 Episode 12 AI Playing Games
As we mentioned last episode, one of the best test spaces for building new AI systems are games. This is because games provide a great framework for an AI to learn an objective and slowly improve. In recent years, AI has made huge strides in games from beating Jeopardy! champions to crushing a five-person team in DOTA 2. Today, we’re going to walk you through creating a Tic Tac Toe bot that uses the minimax algorithm to become undefeatable and we’ll talk about evolutionary neural networks like in SethBling’s MarI/O project. Next week we’ll create our very own game and create an AI to master it!
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