Hacking Flappy Bird with Machine Learning
sarvagyavaish.github.io
Hacking Flappy Bird with Machine Learning
1–10 of 56 posts
Re: Hacking Flappy Bird with Machine Learning
#2Beating the unbeatable with science. I like it.
Re: Hacking Flappy Bird with Machine Learning
#3By far the most interesting 'flappy bird' post so far.
Re: Hacking Flappy Bird with Machine Learning
#4Tre sweet
Re: Hacking Flappy Bird with Machine Learning
#5Cool post! Minor typo: Monekyrunner -> monkeyrunner
Re: Hacking Flappy Bird with Machine Learning
#6Awesome work!
Re: Hacking Flappy Bird with Machine Learning
#7I was waiting for something like this, but I expected somebody to build a flappy bird playing robot :)
Do you know some good literature for machine learning 101? Where to start?
Re: Hacking Flappy Bird with Machine Learning
#8I was waiting for something like this, but I expected somebody to build a flappy bird playing robot :) Do you know some good literature for machine learning 101? Where to start?
There's a great Machine Learning course up on Coursera from Stanford: https://www.coursera.org/course/ml
Re: Hacking Flappy Bird with Machine Learning
#9[deleted]
Re: Hacking Flappy Bird with Machine Learning
#10Very cool! It's remarkable that you can get a good score with effectively only two features: vertical distance from the lower pipe and horizontal distance from the next pair of pipes.
I suspect you could cut the training time by an order of magnitude with a different optimization algorithm, or just by varying alpha. For example, have you considered trying something like a line search? http://en.wikipedia.org/wiki/Line_search