Curiosity is something that all humans exhibit in some way throughout their lives. Recently, a team at Berkeley published a paper on Curiosity driven learning, and they demonstrated how it helped enable their AI agent to learn how to play the popular game Super Mario Brother very efficiently with the added benefit of curiosity to help Mario explore his options. I'll explain how it works in this video using code, animations, math, and the spoken word. This technology can be used to help make our systems more intelligent, and thus our applications more capable of helping other people. Enjoy!
Code for this video:
github.com/llS...
Please Subscribe! And like. And comment. That's what keeps me going.
Want more education? Connect with me here:
Twitter: / sirajraval
Facebook: / sirajology
instagram: / sirajraval
This video is apart of the Move 37 course at School of AI:
www.theschool.ai
More learning resources:
pathak22.githu...
pathak22.githu...
alumni.berkele...
www.technology...
• Reinforcement Learning...
Join us in the Wizards Slack channel:
wizards.herokua...
And please support me on Patreon:
www.patreon.co...
Signup for my newsletter for exciting updates in the field of AI:
goo.gl/FZzJ5w
#ArtificialCuriosity #SirajRaval #AI
Hiring? Need a Job? See our job board!:
www.theschool.ai/jobs/
Need help on a project? See our consulting group:
www.theschool.ai/consulting-group/
Hit the Join button above to sign up to become a member of my channel for access to exclusive content! Join my AI community: chatgptschool.io/ Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available):
www.wagergpt.co
7 сен 2024