"Stop learning tasks, start learning skills." -Satinder Singh, NeurIPS 2018
You can find my list of interesting Reinforcement Learning papers and ressources on this Notion document. If you see a "Yes" in the databases below it means that I read the paper and I uploaded an annotated PDF. I usually highlight the important part of the paper (if you are not used to academic writing you may be surprised that the useful part of most papers is very short) and add some notes when things are confusing. If you have never used Notion before, fret not! Just click on the name of the paper and you should see a field named "Annotated Paper". Click on that field to open the pdf in a new page!
https://lilianweng.github.io/lil-log/ (Stellar explanations and maths)
Read these papers and take notes
https://spinningup.openai.com/en/latest/spinningup/keypapers.html
Do this course + homeworks
http://rail.eecs.berkeley.edu/deeprlcourse/
https://thegradient.pub/the-promise-of-hierarchical-reinforcement-learning/
Hierarchical Reinforcement Learning
Zero Shot learning and Meta Learning