Yes, it is possible to remove the action which was taken after each state in reinforcement learning in MATLAB. Here is a way to do it:
- Create a list of all possible actions.
- Initialize a counter to 0.
- For each state:
- Choose an action from the list.
- Remove the chosen action from the list.
- Increment the counter.
- If the counter is equal to the number of available actions, terminate the episode.
Here is an example of how to implement this:
possible_actions = 1:100;
counter = 0;
while counter < length(possible_actions)
action = randperm(length(possible_actions));
possible_actions(action) = [];
counter = counter + 1;
end
This code will first create a vector of 100 integers from 1 to 100. Then, it will loop over each state. In each state, it will randomly choose an action from the vector and remove it from the vector. The loop will continue until there are no more available actions, at which point the episode will terminate.
You may want to refer to the documentation link below to gain more insight into it: https://www.mathworks.com/help/reinforcement-learning/ug/train-reinforcement-learning-agents.html
I hope this helps!
