Reinforcement Learning Cheat Sheet
Disclaimer: This is a work in progress project there may be errors!
In order to fast recap my knowledge of Reinforcement Learning, I created this Cheat Sheet with all the basic formulas and algorithms. I hope this may be useful to you.
You can find the full pdf here, and the repo here.
Update 19/03/2018. Rewrote Sarsa to follow the Sutton and Barto algorithm
Update 15/03/2018. Thanks to AlexandreBeaulne that added Contraction Mapping, Sarsa and cleanup the latex.
Pull Requests with new features are more than welcome!
The main reference is Reinforcement Learning an Introduction by Sutton and Barto. You can find it here.
Maybe you can also find worth reading this my other articles:
https://towardsdatascience.com/lets-fool-a-neural-network-b1cded8c4c07
https://towardsdatascience.com/how-to-use-dataset-in-tensorflow-c758ef9e4428
Thank you for reading.
Francesco Saverio
