While trying to teach myself the topic of reinforcement learning, I find many sites, books, people and other resources with information about that subject. (I am trying to learn the subject from those resources).
However, some resources contradict each other or conflict with one another. While sometimes it's easy to see what isn't correct (when there is a contradiction, there's often one version that's more accurate, for example), sometimes it's not so easy. Then there are times when there are simply different resources for the same topic in the field, and I cannot decide from which it might be better to learn reinforcement learning.
I'd like to be able to judge or evaluate which resources about reinforcement learning could be better to learn from.
I am aware that it's near impossible to say "this is the best one", but what I'm looking for is a method for choosing the resource from which I can learn the most. This means that in an introduction, resources which go into very fine details are not as good as ones that gives an overview of the subject.
In a way, I'm asking how can I build a curriculum for myself based entirely on resources that deal with reinforcement learning (books, sites, people etc.) to guide my learning of a subject of which I know very little? Judging one resource over another is one of the only things which are making the learning difficult.
This is relevant to reinforcement learning specifically because it's a quickly changing field. New practices/techniques and resources are being generated very rapidly.
I can see that the question itself is very long, but that's meant to keep it focused on what my problem really is: some resources are better than others when it comes to learning a new subject in a quickly evolving field...