强化学习

[poster]

我想使用此q学习（增强学习）代码。似乎代码是正确的，但是我遇到了错误，而且不知道为什么：

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)) if count > 1000; break else count=count+1; end else q1=q; count=0; end end 但是我收到以下警告和错误：

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',fs,xs,options); Error in char/int (line 12) y = int(sym(f),varargin{:}); Error in ReinforcementLearning (line 6) int state=0; 可以在以下链接中找到此代码： http : //people.revoledu.com/kardi/tutorial/ReinforcementLearning/Q-Learning-Matlab.htm



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