EPISODE · Dec 2, 2017 · 9 MIN
Q Learning Explained (tutorial)
from Siraj Raval
Can we train an AI to complete it's objective in a video game world without needing to build a model of the world before hand? The answer is yes using Q learning! I'll go through several use cases and show some python code of how Q learning works. Code for this video: https://github.com/llSourcell/Q_Learning_Explained/ Adnan's Winning code: https://github.com/AdnanZahid/ReinforcementLearning Alberto's runner up code: https://github.com/alberduris Please Subscribe! And like. And comment. That's what keeps me going. Want more inspiration & education? Connect with me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology More learning resources: http://mnemstudio.org/path-finding-q-learning-tutorial.htm https://ocw.mit.edu/courses/aeronautics-and-astronautics/16-410-principles-of-autonomy-and-decision-making-fall-2010/lecture-notes/MIT16_410F10_lec23.pdf http://uhaweb.hartford.edu/compsci/ccli/projects/QLearning.pdf https://medium.com/@m.alzantot/deep-reinforcement-learning-demysitifed-episode-2-policy-iteration-value-iteration-and-q-978f9e89ddaa https://www.cs.cmu.edu/afs/cs/project/jair/pub/volume4/kaelbling96a-html/node19.html http://cs.stanford.edu/people/karpathy/reinforcejs/gridworld_dp.html https://www.quora.com/How-is-policy-iteration-different-from-value-iteration http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching_files/DP.pdf Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/
What this episode covers
Can we train an AI to complete it's objective in a video game world without needing to build a model of the world before hand? The answer is yes using Q learning! I'll go through several use cases and show some python code of how Q learning works. Code for this video: https://github.com/llSourcell/Q_Learning_Explained/ Adnan's Winning code: https://github.com/AdnanZahid/ReinforcementLearning Alberto's runner up code: https://github.com/alberduris Please Subscribe! And like. And comment. That's what keeps me going. Want more inspiration & education? Connect with me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology More learning resources: http://mnemstudio.org/path-finding-q-learning-tutorial.htm https://ocw.mit.edu/courses/aeronautics-and-astronautics/16-410-principles-of-autonomy-and-decision-making-fall-2010/lecture-notes/MIT16_410F10_lec23.pdf http://uhaweb.hartford.edu/compsci/ccli/projects/QLearning.pdf https://medium.com/@m.alzantot/deep-reinforcement-learning-demysitifed-episode-2-policy-iteration-value-iteration-and-q-978f9e89ddaa https://www.cs.cmu.edu/afs/cs/project/jair/pub/volume4/kaelbling96a-html/node19.html http://cs.stanford.edu/people/karpathy/reinforcejs/gridworld_dp.html https://www.quora.com/How-is-policy-iteration-different-from-value-iteration http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching_files/DP.pdf Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/
NOW PLAYING
Q Learning Explained (tutorial)
No transcript for this episode yet