2
$\begingroup$

Q-learning is a temporal-difference method and Monte Carlo tree search is a Monte Carlo method. In what category is MiniMax?

$\endgroup$
3
$\begingroup$

I think you are looking at it from the wrong direction, min-max is just a planning algorithm, decision strategy, in the sense that you are describing other algorithms/methods it does not have a category. For example, you have negamax algorithm which is in a sense the same thing the Monte Carlo Search Tree is to Monte Carlo. Min-max category is game theory really.

Now you should be thinking about RL algorithms in another way, and this is taxonomy:

So if you think about methods, you mentioned, let's put them in the right place:

  • TD methods in general - model free
  • Monte Carlo methods - model free
  • MinMax - model-based (that could be discussed but it definitely needs access to a world model)
| improve this answer | |
$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.