Reinforcement Learning
machine-learning, matlab, reinforcement-learning
Solution
There is no
int state=0;
int state=x1;
in matlab. That is C style. In matlab int is a built-in function meaning something else. Besides, it should be
q=zeros(size(R));
q1=ones(size(R))*inf;
Remember to download his RandomPermutation function, otherwise just use randperm instead.
Problem
I want to use this q-learning (reinforcement learning) code. It seems like the code is correct, but I am getting errors and I don't know why: ``` function q=ReinforcementLearning clc; format short; format compact; int state=0; R= [-inf,-inf,-inf,-inf, 0,-inf; -inf,-inf,-inf, 0,-inf, 100; -inf,-inf,-inf, 0,-inf,-inf; -inf, 0, 0,-inf, 0,-inf; 0,-inf,-inf, 0,-inf, 100; -inf, 0,-inf,-inf, 0, 100]; gamma=0.8; q=zero(size(R)); q1=one(size(R))*inf; count=0; for episode = 0:20000; y=randperm(size(R,1)); state=y(1); x=find(R(state,:)>=0); if size(x,1)>0, x1=RandomPermutation(x); x1=x1(1); end qMax=max(q,[],2); q(state,x1)=R(state,x1)+ gamma* qMax(x1); int state=x1; if sum(sum(abs(q1-q)))<0.0001 && sum(sum(q>0)) if count > 1000; break else count=count+1; end else q1=q; count=0; end end ``` But I am getting the following warning and error: ``` enter code here Warning: The method char/int will be removed in a future relase. Use sym/int instead. For example int(sym('x^2')). > In char.int at 10 In ReinforcementLearning at 6 Error using mupadmex Error in MuPAD command: Invalid integrand. [int] Error in sym/int (line 107) rSym = mupadmex('symobj::intindef',f.s,x.s,options); Error in char/int (line 12) y = int(sym(f),varargin{:}); Error in ReinforcementLearning (line 6) int state=0; ``` This code can be found in the following link: http://people.revoledu.com/kardi/tutorial/ReinforcementLearning/Q-Learning-Matlab.htm