Artificial Curiosity
Skills:
LLM Foundations70%
Key Takeaways
Explores Curiosity-driven learning and its application to AI agents playing Super Mario Brother
Original Description
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:
https://github.com/llSourcell/noreward-rl
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This video is apart of the Move 37 course at School of AI:
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More learning resources:
https://pathak22.github.io/large-scale-curiosity/
https://pathak22.github.io/large-scale-curiosity/resources/largeScaleCuriosity2018.pdf
https://alumni.berkeley.edu/california-magazine/winter-2017-power/super-curious-mario-teaching-ai-keep-asking-questions
https://www.technologyreview.com/s/607886/curiosity-may-be-vital-for-truly-smart-ai/
https://www.youtube.com/watch?v=0Ey02HT_1Ho
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