2
$\begingroup$

In the course of a scientific work, I will discuss the different types of reinforcement learning. However, I have difficulties to find these different types.

So, into which subcategories can reinforcement learning be divided? For example, the following subdivisions seem to be useful

  • Model-free and Model-based
  • Dynamic Programming, Monte Carlo and Temporal Difference

Any others?

Improve this question
$\endgroup$

1 Answer 1

Reset to default
4
$\begingroup$

Your two suggestions are not mutually exclusive. If you go by this process, you'll have to do a "Cartesian product" of a bunch of different RL categorizations which would get out of hand. I recommend, if you can, to describe some sort of "RL taxonomy" instead. By this I mean describing different RL characterizations without assuming they're mutually exclusive.

To add to your list :

  • On-policy or off-policy
  • Value based or policy gradient
Improve this answer
$\endgroup$
2
  • 1
    $\begingroup$ Maybe you could include a diagram like this one. It's your choice, but sometimes diagrams help. $\endgroup$
    – nbro
    Commented Jul 3, 2020 at 21:42
  • $\begingroup$ +1 for the diagram nbro posted, that's a great visualization for what I was trying to describe $\endgroup$
    – harwiltz
    Commented Jul 4, 2020 at 0:07

You must log in to answer this question.