Welcome to part 2 of the reinforcement learning tutorial series, specifically with Q-Learning. We've built our Q-Table which contains all of our possible discrete states. Next we need a way to update the Q-Values (value per possible action per unique state), which we will do using the Q-Learning algorithm!

Text-based tutorial and sample code: pythonprogramming.net/q-learning-algorithm-reinfor…

Channel membership: youtube.com/channel/UCfzlCWGWYyIQ0aLC5w48gBQ/join
Discord: discord.gg/sentdex
Support the content: pythonprogramming.net/support-donate/
Twitter: twitter.com/sentdex
Instagram: instagram.com/sentdex
Facebook: www.facebook.com/pythonprogramming.net/
Twitch: www.twitch.tv/sentdex

#reinforcementlearning #machinelearning #python